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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Sept 2025 - Oct 2025
AWS Sentiment Analysis System
Built a production-ready sentiment analysis system for customer feedback analysis using AWS Free Tier services. Implemented serverless architecture with Lambda, DynamoDB, S3, and API Gateway, creating a cost-effective solution that processes thousands of feedback items with 75-80% accuracy.
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AWS Sentiment Analysis System
Aug 2025 - Sept 2025
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
July 2025 - Sept 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
Jan 2025 - June 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
Jan 2025 - June 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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