통계 Jobs

I need a freelancer to create 1000 Class 10 Maths questions. These should be NCERT-based but slightly advanced, not overly typical. The questions must be equally divided across all chapters and provided in MS Word format. Please ensure the quality is good enough for educational purposes.

I need a concise, professionally written technical report that delivers a clear-headed system analysis of our current setup. Your task is to examine the system components I will share (architecture diagrams, performance logs, and requirement specs) and turn that information into a structured report that covers objectives, methodology, findings, and actionable recommendations. You’ll be free to use any standard technical-writing tools (Word, LaTeX, Markdown—whatever lets you work fastest) as long as the final document is delivered in both PDF and editable format. Depth matters more than length: every section should directly support the conclusions, avoid filler, and be properly referenced. Acceptance criteria • Executive summary highlights the system’s strengths, we...

We are a founder-led iGaming operator preparing to launch a new online brand combining a casino and sportsbook, accepting both crypto and fiat payments, targeting Canada, Ireland, New Zealand, India, South East Asia and LATAM markets. We are looking for one exceptional person to own our entire marketing function from the ground up — social media, content, email marketing and affiliate acquisition. This is not a corporate role with a committee above you. You will work directly with the founder, make real decisions, and build something from scratch. We operate lean and smart. We use AI tools aggressively to do more with less, and we expect you to do the same. If you are the kind of operator who can run what a traditional team of three would handle — because you know iGaming and y...

I am looking for someone who understands: Python / Pandas / NumPy Financial time series Macro indicators Backtesting Portfolio performance metrics Optimization methods such as grid search, random search, or Optuna Walk-forward testing / avoiding overfitting Questions for Applicants Please answer: Have you built any Python financial backtest or quant research notebook before? Have you worked with FRED or macroeconomic data? How would you test different weights without overfitting? What Python libraries would you use? Can you share a relevant example of your previous work?

I need a hands-on data scientist to turn a set of time-stamped records into a working regression model that can reliably forecast future values. The project’s primary objective is to develop a predictive model—specifically, a regression solution built on time series data. Here is what I will provide: • A cleaned, well-structured dataset (CSV) that includes the historical target variable and supporting features. • A short brief on the business context and the key performance metric I care about. What I expect from you: • Exploratory analysis that highlights trends, seasonality, outliers, and any useful lags or engineered features. • A robust regression model suited to time-series behaviour (ARIMA, Prophet, XGBoost, LSTM, or similar—feel free t...

I need to turn historical patient-record data into a reliable model that predicts individual outcomes and flags high-risk cases early. The raw material is a sizeable set of anonymised electronic health records: demographics, vitals, lab results, admission notes, discharge summaries—typical structured tables mixed with a handful of free-text fields that have already been de-identified. Here is what I’m after: • A clean, reproducible pipeline in Python and SQL that pulls the records, handles missing values, encodes categorical variables, and outputs a model-ready dataset. • One or more predictive models built in scikit-learn (feel free to benchmark XGBoost or similar) together with well-explained feature importance. AUROC is the key metric; I’d like to see cr...

I’m looking for a sharp-eyed partner to give my raw numerical records a full verification and cleaning pass. The dataset is sizable and must be delivered back error-free, consistently formatted, and ready for immediate analysis. Here’s what I need from you: • A cleaned version of the file, preserving its original structure • A brief changelog or validation report that highlights duplicates removed, out-of-range values corrected, and any other fixes applied Accuracy, speed, and confidentiality are non-negotiable. You can work in Excel, Google Sheets, Python (pandas), Power Query—whatever helps you deliver a spotless result within the agreed deadline. I’ll provide the source file as soon as we confirm scope and timeline. Tell me which tools you prefer...

I’m seeking ongoing, subject-specific tutoring to deepen my grasp of two areas at the core of my current Computer Science program: Mathematics (calculus, linear algebra and discrete maths in particular) and Labour Law. My goal isn’t quick homework fixes or last-minute test cramming; I need clear, concept-driven sessions that connect theory to practical problem-solving so I can apply what I learn across projects and exams. Here’s what will make the engagement successful for me: • Live, online sessions 2–3 times a week, preferably via Zoom or a similar screen-sharing platform. • Structured explanations that move from fundamentals to advanced applications, with worked examples and short practice sets I can complete between meetings. • Brief recap n...

Google Analytics is currently installed and gathering data, but I need to ensure that lead tracking is working accurately across all website forms. I'm looking for a GA expert to review the existing analytics setup, verify that all relevant events, conversions, tags, and triggers are configured correctly, and identify any issues affecting lead attribution or reporting. The scope includes auditing the current implementation, testing form submission tracking, confirming that conversions are being recorded properly, and ensuring leads are attributed to the correct marketing channels and traffic sources. Following the review, I would like practical recommendations and, where possible, implementation support to resolve any tracking issues. The project should conclude with a brief report ...

I'm seeking a Business Intelligence (BI) Analyst to help analyze customer behavior with a focus on predicting customer needs and purchases. Key Requirements: - Expertise in Excel and Power BI for data visualization and analysis - Proficient in Sage data extraction - Strong skills in sales forecasting and customer analytics Ideal Skills and Experience: - Proven track record in similar BI projects - Ability to provide insights that drive business decisions - Experience with customer behavior metrics Please include past work in your application.

You’ll be turning a series of large Excel files into polished, interactive Power BI dashboards for our Hyderabad office. The work goes beyond simple data import: I need clear charts and graphs for trend spotting, detailed tables and matrices for drill-downs, and the occasional custom visual when the built-ins just don’t tell the story. Because every source is Excel, your model-building, data-shaping, and DAX skills must be tight enough to keep refresh times low and errors at zero. I’ll share the cleaned spreadsheets, outline the KPIs, and expect a PBIX file plus a quick hand-off call that walks me through filters, bookmarks, and any custom visuals you’ve added. If you’re Hyderabad-based, on-site discussion is possible; otherwise, remote delivery is fine as ...

# Advanced Excel Study Planner & Performance Dashboard (RRB PO, SBI PO, SSC) ## Project Overview I need a professional, full-featured study-planning workspace built entirely in Microsoft Excel (Excel 2016+ compatible) for competitive exam preparation, specifically RRB PO, SBI PO, IBPS PO, SSC CGL, SSC CHSL, and similar aptitude-based examinations. The workbook should function as a complete planning, tracking, and performance-management system, allowing me to create fully customizable study schedules (daily, weekly, monthly, or hour-based), monitor progress automatically, analyze mock-test performance, and identify weak areas through interactive dashboards. The final deliverable should be clean, professional, optimized for performance, and suitable for long-term use without requirin...

I need my brokerage statements turned into clear, trustworthy insights. The focus is performance analytics—precise figures for return, drawdown, win-rate, exposure, and anything else that shows how the account is truly behaving. Alongside that, I want a solid understanding of risk. Explain where the portfolio is vulnerable by running the most appropriate forms of risk analysis; whether that turns out to be value-at-risk, stress tests, custom scenarios, or a blend is up to you, as long as the logic is transparent and data-driven. Deliverables • A reproducible workbook or script (Python, R, Excel, etc.) that ingests my full trade history and outputs performance and risk metrics. • A short, plain-language report summarizing findings, methods, and actionable recommendati...

I am looking for an experienced developer to build a Football Corner Intelligence Bot that analyzes matches and generates smart corner betting signals via Telegram. Data Analysis & Intelligence Engine I am NOT looking for a simple corner statistics bot. I want the bot to analyze matches similarly to how a human football analyst would evaluate corner betting opportunities. The system should consider multiple factors before generating a signal. 1. Team Strength Analysis The bot should not only analyze overall corner averages. It should also analyze: - Home corner statistics - Away corner statistics - Corners created - Corners conceded - Team attacking production - Team defensive weakness Example: Real Madrid Home Corners Avg: 6.4 Barcelona Away Corners Avg: 5.7 Corners Conced...

I’m looking for a detail-oriented analyst to conduct an investment-grade study of current and emerging trends in the real-estate sector. The work is purely market-trends focused—no property valuation or portfolio modelling—so I need sharp, data-driven insight that helps me decide when, where, and how aggressively to deploy capital. You will gather recent transactional data, macro-economic indicators, zoning or regulatory shifts, and demographic movements, then translate those findings into clear, actionable intelligence. I expect thoughtful commentary on supply-demand dynamics, pricing momentum, absorption rates, rental yields, and any leading indicators you believe deserve attention. Typical tool-set for this assignment would include Excel (or Google Sheets) for data m...

I’m looking for an experienced full-stack AI/ML developer who can dedicate part-time hours during Central Time. Your immediate focus will be hands-on data analysis of well-structured datasets that live in our relational databases and spreadsheets. You’ll be expected to explore, clean, and transform this data in Python using pandas, then turn it into clear insights or prototype models that the rest of the team can act on. Because we operate in CST, I’ll need you available for regular check-ins, code reviews, and the occasional real-time pair-session. Fluent English is a must—we move quickly and rely on concise discussion to scope experiments and share findings with non-technical stakeholders. Typical workflow • Pull data from our existing SQL sources or flat...

I am preparing a mixed-methods study in the field of Higher Education and I need a reliable partner to move the work forward. The topic is firmly set within the education domain, and the design combines both qualitative and quantitative strands, so experience weaving statistical findings together with narrative insights is essential. Here is what I will need from you: • Help sharpening the research questions and aligning them with a coherent mixed-methods framework • A thorough, current literature review that situates the study within established Higher Education scholarship • Guidance on instrument design and sampling for both the survey portion (SPSS or similar friendly) and the qualitative interviews/focus groups (NVivo, MAXQDA, or your preferred qualitative package...

I need a clear-cut comparative study that reveals how our current material resource allocations diverge from the established standards we use when buying or distributing stock across different fields. The focus is strictly on material resources; financial and time factors sit outside this scope. The raw data come in multiple tables that flag “given deviations,” “standard basis,” and “contemporary allocations.” Your task is to consolidate these inputs, calculate the variances, and surface the underlying drivers behind any substantial differences. A narrative that ties numbers to operational realities matters as much as the figures themselves, so please weave both into your conclusions. Deliverables • A clean, well-documented dataset ready for int...

I have a raw dataset from a recent public-health survey that now needs a clear, publication-ready descriptive analysis. The file will arrive as a de-identified CSV with the full data dictionary; variables include standard demographic items plus several multi-item scales on health behaviors and service use. Your task is to run thorough descriptive statistics—frequencies, proportions, means, medians, and appropriate measures of dispersion—highlighting any notable patterns or unexpected values. Visual summaries (bar charts, histograms, boxplots) are encouraged to make the findings accessible for non-technical readers. I prefer to work in R or Python (tidyverse, pandas, seaborn, ggplot2), but Stata or SPSS are equally acceptable if that is where you work fastest. Deliverables &...

Seeking highly advanced Python/AI pattern-detection specialist with experience in market microstructure, behavioural analytics, anomaly detection, and bookmaker odds movement analysis. Project involves building a rerunnable AI-assisted analytics framework designed to detect and classify pre-match betting market behaviour across global football leagues. Core objective is to distinguish between: • genuine information-driven market movement • liquidity/liability-based bookmaker gearing • deceptive or behavioural drift patterns • ambiguous market behaviour The system must analyse: • Moneyline markets • Over/Under markets • Multi-bookmaker movement concurrence • League-specific behavioural fingerprints • Provider-specific movement bias • Margin ...

I’m looking for a patient, knowledgeable tutor who can guide me through college-level mathematics. The immediate goal is to strengthen my grasp of core concepts—calculus, linear algebra, and any other foundational topics that come up in my coursework—so I can tackle assignments and exams with confidence. We’ll meet online, so please be comfortable using screen-sharing tools, a digital whiteboard, or whatever platform you prefer for clear step-by-step explanations. I learn best by working through real problem sets: you walk me through the method, I try it, then we review together. If you can also share short practice exercises between sessions, that would be ideal. Let me know your availability, the software you like to use (Zoom, Skype, Microsoft Whiteboard, etc.)...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I’m working on medical diagnostic data meta-analyses. Some data come from direct presentations of raw data, some from logistic-regression output, others from ROC curves, and I would like to know when it is defensible to “reverse-engineer” true-positive, false-positive, false-negative and true-negative counts from summary measures such as sensitivity, specificity or AUC or regression. Here’s what I’m looking for you to deliver: • A short, clearly written memo or a brief call that walks through and states whether the back-calculation is appropriate in a number of example case. I will be happy to provide additional explanation of intended methods (hsROC) and provide som examples of references or excerpts of published data that I am not sure is appropriate f...

I want to build a solid working understanding of quantum field theory, starting from a beginner’s level and moving toward confidently handling second-order perturbative calculations. My main goal is to grasp how the classic Feynman diagrams and their underlying integrals arise, follow every VERY DETAILED mathematical step behind them, and learn how to attach realistic numerical estimates to the final results. During our sessions I’d like you to weave together the big theoretical ideas with line-by-line derivations and concrete numerical evaluatio . Please favour step-by-step written explanations that I can revisit between meetings. Visual summaries or interactive moments are welcome if they help, but clear written walkthroughs are essential. If you enjoy guiding someone from ...

I work in the finance industry and spend most of my time examining large sets of financial data. I’m looking for a reliable freelancer who can step in and help me run specific analyses, prepare clear summaries, and visualize key findings when deadlines pile up. Here’s what I typically need: • Clean and structure raw financial data so it is ready for analysis (Excel, CSV, SQL exports). • Perform descriptive and comparative analyses—trend, variance, ratio, or other finance-focused techniques—using tools such as Excel, Python (pandas, NumPy), or R. • Turn results into concise written insights and, when useful, simple charts or dashboards that I can drop straight into client presentations. What I care about most is proven experience. In your appli...

I’m in the early stages of launching a new enterprise and I have a sizeable set of financial data that needs a fresh pair of eyes. The objective is straightforward: dig deep into the numbers, spot hidden patterns I can act on, and highlight anything unusual that could influence my next strategic move. You’ll receive raw transaction tables along with a brief on the business model. Using Python (think pandas, NumPy, maybe a touch of scikit-learn for exploratory modelling) and solid SQL querying, I’d like you to clean the data, explore relationships, and surface any trends or anomalies that aren’t obvious at first glance. Clear commentary in well-structured Jupyter notebooks or a similar environment is preferred so I can follow the logic step by step. By the end, I n...

I need a Power BI dashboard built from the ground up with one clear objective: give me an at-a-glance view of our sales performance. The data will come from our existing SQL database and a set of monthly CSV exports; you will connect, clean, and model everything inside Power Query and DAX so the reports refresh automatically. While the core focus is sales analysis, I am open to your suggestions on which visuals and metrics add the most value—think revenue by region, product performance, or even individual sales-team results if that helps highlight trends. What matters is that the final report tells a concise story I can share with executives and frontline reps alike. Deliverables • A ready-to-publish Power BI (.pbix) file with clean data model, measures, and interactive visual...

We are looking for an experienced Power BI developer to create a professional, interactive dashboard based on financial data provided in CSV format. The objective is to transform raw financial data into actionable insights by developing key performance indicators (KPIs), performance metrics, and visual analytics that support business decision-making. Scope of Work: Import and clean CSV financial data Design and develop an interactive Power BI dashboard Create relevant financial KPIs and performance metrics Build visualizations for trends, comparisons, and performance tracking Implement filters, slicers, and drill-down functionality Ensure dashboard is clear, intuitive, and suitable for executive-level reporting Expected Deliverables: Power BI (.pbix) file Well-structured data model Ca...

I have a set of completed Abaqus simulations and now need a sharp, data-driven interpretation of the results. The focus is purely on post-processing: extracting the stress and strain fields from the ODB files, turning them into clear visuals and metrics, and explaining what they mean for the structural stability of the frames I am studying. Here are the exact result areas that must be covered: • Maximum stress points • Stress distribution over time (load increments / steps) • Comparative analysis between different simulations • Displacement fields • Any additional indicators that speak to overall frame stability I expect plots (contours, XY curves) and a concise written discussion that pinpoints critical regions, quantifies safety margins, and compares ...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I’m ready to turn the stock market into a dependable source of roughly $1,000 in profit every single day, but I’m starting from a blank slate. I’ll open the brokerage accounts you recommend; what I need from you is the complete, step-by-step blueprint that makes those accounts grow. Here’s what I have in mind: • A clearly defined strategy for active investing or swing trading in stocks, backed by both fundamental and technical analysis. • Exact entry, exit, and risk-management rules I can apply on platforms such as Interactive Brokers or Thinkorswim. • A position-sizing model that shows how much capital is required to reach the $1K-per-day goal and how to scale safely. • A walk-through of any screeners, indicators, or automated tools (...

Marketing Analytics Project to present to team Overview Welcome! This assignment simulates a real-world scenario where you need to unify and analyze multi-channel advertising data. Your mission: Transform raw advertising data from three major platforms into actionable insights through a unified data model and compelling visualizations. Data Files - Facebook advertising metrics - Google Ads campaign data - TikTok advertising engagement Requirements 1. Data Setup Upload all three CSV files to a cloud database of your choice Create an additional table that unifies data from these 3 tables 2. Dashboard Create a one-page dashboard visualizing the integrated data. Include key metrics and insights you find relevant for cross-channel performance analysis. Deliverables Link to live dashboard ...

I have a balanced panel covering 6–10 years of observations across multiple cross-sections and want to examine how an economic indicator responds to a set of covariates. Sample of te panel data is attached. The study design calls for a classic fixed effects specification in STATA, with all the usual diagnostics to justify the choice over random effects and to address serial correlation and heteroskedasticity. The data arrive clean and coded, but I still need you to: • import them into STATA, document any recoding or value-label changes, and verify panel identifiers • run the fixed effects model, report robust standard errors, and perform the Hausman test so the fixed-effects choice is formally defended • supply neatly formatted regression tables (preferably outr...

From Pakistan or India Junior Level I need some junior Level , Python Tutors for kids. I need a warm-hearted, energetic female tutor to guide a small group of children through the world of Python. The kids are absolute newcomers, so the first goal is to spark curiosity—show them how to print a line, draw shapes with Turtle, and turn simple logic into something they can see on-screen. As they gain confidence, I’d love to branch into playful mini-projects such as text-based games and, if time allows, a gentle introduction to data-handling basics. All sessions will be online. I’m aiming for two one-hour lessons per week, with brief take-home exercises after each class and a short progress note so parents can follow along. You’re free to recommend the best tools—...

I need help writing the introduction and methodology for my IB Math HL IA on sorting algorithms. Ideal Skills and Experience: - Strong understanding of IB Math HL concepts, particularly in calculus, statistics, and algebra - Experience with writing academic mathematical reports - Ability to clearly articulate complex mathematical ideas - Familiarity with sorting algorithms and their applications Looking for a freelancer who can provide a well-structured and clear introduction and methodology.

I need raw Tcrit and reflectance data from two experiments analyzed using R. Please also write results, discussion, and conclusion sections. Key requirements: - Statistical analysis expertise - Proficiency in R - Experience in scientific reporting Ideal skills and experience: - Familiarity with Tcrit and reflectance data - Strong background in statistical methods - Ability to interpret and discuss experimental results

My dissertation has yet to move beyond the idea stage, so I need the entire manuscript written—from the opening pages all the way through to the final conclusion. The scope covers every chapter: introduction, literature review, methodology, data collection and analysis, results, discussion, conclusion, plus all required references and appendices. Academic rigor is paramount: every claim must be supported by credible, up-to-date sources, arguments must flow logically, and the final document must conform to standard university formatting and citation guidelines (APA/MLA/Harvard, as applicable). If statistical work is necessary, I’ll rely on you to choose appropriate methods and run them accurately in SPSS, R, or a similar tool. When you message me, focus on your dissertation-...

I have a raw sales dataset that needs to go from messy spreadsheets to an insight-rich, client-ready dashboard. First, I want the data cleaned and structured in Excel—think advanced formulas, Pivot Tables, and error checks—so every field feeds smoothly into Power BI. Once the foundations are solid, the core of the job is building an interactive dashboard in Power BI. It must spotlight the metrics that matter most to me: sales by region, sales by product category, monthly sales trends, profit margins, year-over-year growth, and customer acquisition cost. I picture a mix of bar charts, pie charts, and line graphs, complemented by KPI cards for quick reference and slicers that let users filter results on the fly. Good communication is important; I need to understand not just...

I have a Year 9 student who needs regular support in both commerce and maths. The commerce side centres on Australian consumer law, business structures and financial literacy; for maths the focus is algebra, geometry and statistics. We prefer to meet on WhatsApp and would like two 30-minute sessions each week (total one hour). If grades and confidence start climbing, I’ll happily add more time. Here’s what I need from you: • Brief lesson plan sent before each meeting so the student can preview the material • Live tutoring via WhatsApp with screen-sharing or digital whiteboard as needed • A short progress note after every session highlighting wins, sticking points and suggested practice Experience with the Australian curriculum is essential, along w...

I have a raw customer dataset that needs to be translated into clear, actionable insights about how people actually behave—purchasing habits, engagement trends, repeat-buy triggers, churn signals, and any other meaningful patterns you discover. The scope is straightforward: clean the data, choose the right statistical or machine-learning techniques, visualise the findings, and give me a concise written summary of the key behaviour patterns uncovered. I’m comfortable with whichever toolset you prefer—Python (pandas, scikit-learn, seaborn), R (tidyverse, caret), or a BI platform such as Power BI or Tableau—as long as the final output is reproducible and easy for me to explore. To gauge fit, please attach examples of past work where you turned customer data into ...

I have a sizeable set of customer demographic data—age ranges, locations, genders, income brackets and the like—and I want to turn it into clear, actionable business insights. The objective is straightforward: explore the dataset, surface meaningful patterns, and present findings that can guide our marketing and product decisions. You will receive the raw CSVs in a secure S3 bucket. Feel free to work in Python with Pandas, scikit-learn, seaborn—or any comparable stack that lets you move quickly and keeps the process fully reproducible. I’m especially interested in: • Segmenting high-value or high-growth customer groups • Highlighting correlations between demographic traits and purchasing propensity • Visualising trends in a way executives can ab...

I’m producing a steady stream of short-form videos for YouTube—quick reels and shorts that could range from travel highlights to everyday lifestyle clips or even quick tutorials. Whatever the footage, I want the final cut to feel casual, natural and authentic rather than over-produced. Your role is to take my raw clips, trim them down to punchy 15–60-second pieces, balance the audio, colour-correct where needed, and add concise text overlays or captions that reinforce the key moments. I don’t need elaborate transitions or flashy VFX; a clean edit with readable on-screen text is what matters most. Please be comfortable working in Premiere Pro, Final Cut, DaVinci Resolve or a comparable editor and delivering ready-to-upload 1080x1920 vertical files, ideally with...

I need an expert to review a medical billing coding matrix, specifically focusing on the accuracy of CPT codes used. This is for a cash based integrative office that I am doing patient billing for. The goal is to ensure that all codes are correct and up-to-date. I need a licensed coder for this. Do not respond if you are not licensed please don't respond. Ideal skills and experience: - In-depth knowledge of CPT coding for integrative offices - Experience in medical billing and coding - Attention to detail and accuracy - Familiarity with compliance regulations -Must be a licensed medical coder.

I need a complete Python pipeline that ingests CCTV streams from several in-store cameras and turns them into actionable retail metrics. Using YOLOv8 for detection, ByteTracker plus a solid Re-ID module for cross-camera identity preservation, the system must • detect and track people only (no vehicles, animals, etc.) • avoid double-counting the same shopper when they move between overlapping views • distinguish staff from shoppers so employees are never included in customer statistics • produce reliable foot-traffic counts, crowd-density heatmaps and an “entry-to-purchase” conversion figure (how many visitors become paying customers) Please deliver: 1. Well-structured, documented Python code (YOLOv8 + ByteTracker + ReID) that runs on recorded f...

I'm seeking an expert in medical research and statistics to conduct a meta-analysis on Merkel Cell Carcinoma (MCC) clinical trials. The analysis will focus on treatment efficacy and recurrence rates. Key Requirements: - Analyze more than 20 clinical trial studies - Focus on treatment efficacy and recurrence rates - Provide comprehensive statistical data and insights Ideal Skills and Experience: - Advanced degree in medical research or related field - Expertise in meta-analysis and statistical software - Experience with oncology clinical trials - Strong publication record in peer-reviewed journals Please include relevant experience in your bid.

expert to design, and develop, a System Dynamics Model to strengthen its capacity for forward-looking micro-prudential supervision and forecasting. The model will provide supervisors with a dynamic tool to better understand how financial sector risks evolve in response to macroeconomic changes, policy shifts, and institutional behaviour. The primary objective is to develop a model that: • Simulates key banking sector risk indicators, including capital adequacy (CAR), liquidity, profitability, non-performing loans (NPLs), and leverage. • Integrates key macroeconomic variables such as GDP growth, interest rates, inflation, and fiscal policy changes, allowing supervisors to assess their influence on institutional risk profiles. • Provides scenario-based early warning functional...

Need an experienced Python Quant Developer to build a backtesting and research engine for a crypto futures trading strategy (BTC and ETH perpetual futures). This is a Phase 1 research project only. I am NOT looking for a live trading bot at this stage. The objective is to validate the strategy using historical data, realistic execution assumptions, fees, slippage and performance analysis before considering live deployment.

I’m ready to send you a raw Parquet-formatted financial time-series dataset and I need it returned fully cleaned and model-ready. The work centres on four specific steps: • Handling missing values • Scaling and normalisation • Feature engineering • Producing a consolidated master database for model training Please retain the native frequency and time index, document every transformation, and return both the processed file (CSV or Parquet—whichever keeps the structure intact) and the reproducible code or notebook you used. If you’ve tackled stock or crypto data before, this should be straightforward and quick. Once I verify the dataset loads smoothly into our existing notebooks, the job is done.

I have a sizeable, time-stamped collection of vehicle telematics that combines three rich streams: • GPS data • Engine data • Driving behavior data My sole objective is to turn these inputs into an accurate, production-ready regression model that can predict and ultimately improve fuel efficiency across our fleet. The data already sits in clean CSV batches, each trip keyed by vehicle ID and timestamp; your job is to move from raw files to actionable predictions. What I need from you • Build an end-to-end data pipeline that ingests, cleans, and engineers features from the three datasets above, handling missing values and synchronizing timestamps. • Select and compare appropriate regression techniques—linear, elastic-net, gradient boosting, or any ...

I have several raw financial data sets—daily price feeds, transaction logs, and balance-sheet snapshots—sitting in CSV format. The task is to load these files into Python (think pandas and NumPy), clean and merge them where necessary, then dig into the numbers to pinpoint meaningful trends. I need clear, reproducible insight rather than black-box output, so please organise the work in a Jupyter Notebook that: • shows each transformation step, • highlights any assumptions or filters applied, and • concludes with well-labelled visualisations (matplotlib or seaborn are fine) that make the identified trends obvious at a glance. A short written summary of the findings—key upward or downward movements, cyclical patterns, and anything unusual worth fla...