I am an accomplished professional with a wealth of experience in data science, GIS mapping, NLP , and machine learning. With expertise in Python programming, I offer a comprehensive range of services including data analysis, data scraping, data annotation, and spatial analysis.
My skills extend beyond traditional data science into the realm of prompt engineering and forex trading, where I leverage advanced algorithms and statistical models to analyze market trends and make informed trading decisions. Whether you need assistance with GIS mapping projects, developing machine learning algorithms, or optimizing forex trading strategies, I am here to provide tailored solutions to meet your needs.
Skills:
Data Visualization
Data annotation
Data Analysis
GIS Mapping
Remote Sensing
Python Programming
Forex Trading
Computer Vision
Deep Learning
Prompt Engineering
Technical and Fundamental Analysis
Machine Learning
Natural Language Processing (NLP)
Projects & Accomplishments:
Project: Sentiment Analysis for Social Media Monitoring
Developed a sentiment analysis model using deep learning techniques to analyze social media posts in real-time.
Achieved 85% accuracy in classifying sentiment (positive, negative, neutral) across various social media platforms.
Implemented the model into a scalable application for continuous monitoring of brand perception and customer sentiment.
Project: Personalized E-commerce Recommendation System
Designed and implemented a recommendation system for an e-commerce platform to deliver personalized product recommendations to users.
Increased conversion rates by 20% through targeted product recommendations based on user browsing history and purchase behavior.
Utilized collaborative filtering and content-based filtering techniques to tailor recommendations to individual user preferences.
Project: Healthcare Fraud Detection
Developed a machine learning model to identify fraudulent claims in healthcare insurance data.
Achieved a detection accuracy of 95% and reduced false positives by 50% compared to previous rule-based systems.
Implemented anomaly detection algorithms to flag suspicious patterns in billing data and detect potentially fraudulent activities.
Education:
[login to view URL]. Computer Science. University of Cape Town. Cape Town, Western Cape, South Africa.
Graduated: 8 Years ago
