Data-Driven Insights, Analytics Solutions.

I've worked on a variety of data analytics projects, focusing on extracting meaningful insights from complex datasets and building analytical solutions that drive business decisions. Here are some highlights I'm proud of, showcasing my process from data exploration to actionable insights.
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2024
Fraud Detection System
A comprehensive machine learning system for detecting fraudulent transactions in mobile money services using unsupervised anomaly detection. Implements Isolation Forest algorithm to identify potentially fraudulent transactions with ~2% accuracy rate.
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Fraud Detection System
2025
GymTracker Streamlit Dashboard
Developed an interactive fitness tracking application using Streamlit and Python. Features include workout analytics, progress visualization, and personalized recommendations based on user data patterns.
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GymTracker Streamlit Dashboard
2025
Hospital Readmission Prediction Model
Built a predictive analytics model using machine learning to identify patients at high risk of readmission within 30 days. Utilized patient demographics, medical history, and treatment data to achieve 85% accuracy in predicting readmissions.
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Hospital Readmission Prediction Model
2025
Market Sentiment Analysis Project
Developed a comprehensive market sentiment analysis system using Python and machine learning techniques. Analyzed social media data, news sentiment, and market indicators to predict stock price movements with 78% accuracy.
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Market Sentiment Analysis Project
2025
Traffic Violation Data Analysis
Conducted comprehensive analysis of traffic violation data using Jupyter Notebooks and Python. Identified patterns in violation types, locations, and time periods to help improve traffic safety and enforcement strategies.
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Traffic Violation Data Analysis
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