Below is a selection of my academic and personal projects across
Artificial Intelligence, Data Science, Machine Learning, Big Data, and Systems Engineering.
Skin Cancer Detection Using Deep Learning (ResNet50)
Deep learning classification model using transfer learning with ResNet50 on ISIC dermatology datasets to detect malignant skin lesions.
Dallas Crime Location Prediction Using Machine Learning
Multi-class classification models predicting crime incident locations using Dallas Police open data and feature engineering techniques.
Circadian Rhythm Analysis Using Twitter Activity
Large-scale temporal analysis of 4.5M+ Twitter records to study global circadian activity and behavioral patterns.
Tracking the Leading Causes of Death in the U.S. (1999–2017)
Public health data visualization project analyzing national and state-level mortality trends using Python and R.
Clean Water & Sanitation Big Data Analysis (Hadoop & MapReduce)
Distributed data processing pipeline using Hadoop Streaming and MapReduce to analyze and forecast global water access trends aligned with UN SDG 6.
ESP32 Smart Home Hub (AWS IoT + Streamlit)
End-to-end IoT system featuring secure cloud communication, real-time monitoring, automation logic, and web-based dashboard visualization.
📌 Note:
Each project includes documentation, code, results, and a clear explanation of my individual contributions.