Projects
Machine Unlearning for Data Privacy
Implemented machine unlearning algorithms within a SISA architecture for privacy-preserving ML models. Achieved ~96% model accuracy and analyzed unlearning impact across multiple models.
View on GitHubBlack Friday Purchase Prediction
Built end-to-end ML pipeline for Black Friday purchase predictions using transactional store data. Conducted data cleaning, feature engineering, and trained neural networks and regression models, benchmarking via RMSE.
View on GitHubOpenMax Open Set Deep Networks
Implemented transfer learning-based computer vision model with OpenMax activation for open-set recognition. Trained base model on CIFAR-10 and transferred weights to MNIST, reducing false positives and improving reliability.
View on GitHubOral Cancer Detection using CNN (VGG-16)
Developed VGG-16 CNN model using 6,500+ X-ray images achieving ~91% accuracy. Applied transfer learning to reduce training time by ~40% while maintaining high performance.
Data Analysis: Effect of Unemployment on Box Office
Combined four datasets to analyze macroeconomic sentiment vs box office performance. Performed data cleaning, bivariate analysis, and applied regression, classification, and K-means clustering in R.
View on GitHubAirline-Flight Booking Application
Developed a Java-based airline booking web app with PostgreSQL backend. Designed database schemas and implemented backend logic for bookings and flight management.
View on GitHubBig Data AWS ML Analysis
Evaluated AWS services for large-scale ML workflows. Built and compared regression, decision tree, SVM, and gradient boosting models in AWS.
View on GitHubKPI Dashboards for Pipeline Integrity – Atmos Energy
Led definition and monitoring of six core KPIs. Built executive Tableau dashboards with automated refreshes for proactive risk management.
🎓 Education
Illinois Institute of Technology
Master’s in Data Science | Jan 2021 – Dec 2022 | Chicago, IL