Mayank D. Profile

5.0

(2 건의 리뷰)

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$15 USD / 시간

ghaziabad,

india

$15 USD / 시간

현지시간은 6:14 AM입니다

6월 25, 2022에 가입했습니다

0 추천

Mayank D.

@DRxMayankD

5.0

(2 건의 리뷰)

2.0

100%

$15 USD / 시간

ghaziabad,

india

$15 USD / 시간

100%

작업 완료

100%

예산 준수

100%

기한 준수

해당 사항 없음.

재고용률

Databases | Data Scientist |Scraper | Python Dev

Expertise and Experience: - Seasoned Data Scientist (AI/ML) and Python API Developer with a robust healthcare background. - Expert in Social Media and E-commerce Scrapping. - Database Sync using SQL/Elasticsearch - CI/CD Integration using Jenkins/ Github Actions - Proficient in data collection through methods like Web scraping and Data Wrangling. - Skilled in acquiring and processing diverse datasets for impactful analysis. - Deep understanding of clinical data and its analysis. - Utilize analytical skills in Python and Power BI for extracting meaningful insights and facilitating informed decision-making in healthcare. - Advocate for innovation, integrating emerging technologies like Named Entity Recognition (NER) and Machine Learning (ML) pipelines to enhance patient outcomes. Proficient in data pipeline development and web scraping.

Python Developers 분야의 전체 프리랜서 확인 (대상 국가: India)

직업에 관해 Mayank D.님에게 연락해보세요

채팅으로 자세한 내용을 논의하려면 로그인하세요.

포트폴리오

Project included about about 3 different models about 13 times in total to make their expertise in particular domain.
Dataset was extracted and processed in various ways to fit in various models specific pipelines.
I used PEFT config and LoRA configs along with BNB config to use the resources the best optimised way.

LLM Model | NER | Trained for 8 different dataset Expertise

Data available in e commerce sites are very important for so many people I can show you the glimpse of the sample that I also share with the clients.
Here i used python web automation tools to get all the data... I extracted about 25000+ items data from the web.

E-Commerce Web Scraping

Project Goal: Gain real-time insights & monitor servers closely within your CI/CD pipeline using Prometheus & Grafana.

ETA: 5 Days

Benefits:
Proactive Problem Solving: Identify & troubleshoot issues faster with clear visualizations.
Data-Driven Decisions: Optimize pipeline performance based on readily interpretable plots.
Faster Resolution: Quickly pinpoint root causes through intuitive visualizations.
Centralized Monitoring: Consolidate metrics into a single, visually-compelling Grafana dashboard.
Key Requirements:

Data Collection: Implement Prometheus to gather metrics from all CI/CD stages (build, test, deployment).
Visually-Rich Monitoring: Utilize Grafana to create a user-friendly dashboard with easy-to-understand plots for close server monitoring.
Data Storage & Retrieval: Establish a robust time-series database for historical data analysis.
Alerting & Notification: Configure alerts for critical metrics & receive real-time notifications.
Success Criter

CI/CD Pipeline Monitoring & Enhanced Visibility

This innovative SIP calculator webapp leverages cutting-edge database pipelines for superior speed and accuracy and saving data into various forms.

Time Taken: 2 Days

Client Benefits:
Clear financial planning with actionable insights.
User-friendly interface for all experience levels.
Streamlined onboarding and goal setting.
User can download files with the custom names also. and analysis can be done.

Impact:
Boosts client engagement and financial literacy.
Enhances sales and lead generation.
MyPlan SIP Optimizer empowers clients and simplifies financial planning.

MyPlan SIP Optimizer:
Calculates SIP returns (investment duration, amount, return).
Clear outputs: total invested, final balance, profit/loss.
User-friendly for all investors.

MyPlan SIP WebApp : Empowering Investors with Cutting-Edge

Scraping continously a crytpowebsite* and pouring data into data pipeline for processing and analysis.
Created APIs using python and database using SQL and MongoDB.

*Cant take the name of website here because of some legality.

Crypto Website scraper

? Deciphering Customer Churn: Insights from Analysis ?

Hello! I'm Mayank Dwivedi, a Data Analyst Intern at PwC Virtual Internship. Sharing my latest feat - a KPI Dashboard unveiling customer churn secrets.

? Key Findings:

Tech Tickets: A 1.55 increase in numTechTickets spikes churn by 9.83 times.
Total Charges: $2363.28 dip escalates churn by 4.69 times.
Tech Support: "No" to support ups churn by 2.82 times.
Tenure: Every 24.18 unit drop raises churn by 2.43 times.
Online Security & Backup: "No" elevates churn chances by 2.44 and 1.83 times.
? Churn Dashboard Insights:

Tenure Impact: Over 50% churn at tenure 1, revealing its impact.
Contract Clue: 88.55% churn on month-to-month contracts.
Dependents' Dilemma: Churn more common without dependents.
Tech Ticket Trail: 63.99% churns from customers with 0 numTechTickets.

? Conclusion:
This project uncovers churn intricacies, guiding strategic decisions. Feel free to connect for insights. Let's shape the data lan

Churn Dashboard for CALL CENTER Client

LLM Model | NER | Trained for 8 different dataset Expertise

E-Commerce Web Scraping

CI/CD Pipeline Monitoring & Enhanced Visibility

MyPlan SIP WebApp : Empowering Investors with Cutting-Edge

Crypto Website scraper

Churn Dashboard for CALL CENTER Client

리뷰

수정 사항에 대한 저장 완료

현재 1 ~ 2 번째 리뷰 표시 중(전체 2 건)

리뷰에 대한 필터 유형:

5.0

₹7,450.00 INR

Biomedical NER Using Language Models

Our project was done very well. Communication with the client was very good. Domain knowledge and expertise is up to the mark. Overall the documentation and project were professional and satisfactory.

Java

JavaScript

Python

Software Architecture

Machine Learning (ML)