✦ Technical Projects
Things I've Built
A selection of projects spanning payroll systems,
predictive analytics, and ML-based security tools.
💰
Jan 2024 — Present
Employee Payroll Management System
A full-stack enterprise payroll platform built with
Oracle Database and Oracle APEX. Automated payroll
calculations and leave processing through stored
procedures, triggers, and cursors. Features
role-based authentication with audit logging for
compliance, and is containerized with Docker for
cross-platform deployment.
Oracle DB
PL/SQL
Oracle APEX
Docker
📊
Sep 2023 — Dec 2023
Insurance Complaint Settlement Predictor
A predictive analytics system that forecasts
insurance complaint settlement outcomes in Texas.
Applied data preprocessing, feature engineering, and
supervised learning algorithms achieving 15%
accuracy improvement. Integrated the trained model
into a Django-based RESTful web application for
real-time inference.
Python
Django
Scikit-learn
REST API
🏥
Aug 2022 — Nov 2022
Diabetes Risk Assessment Platform
A Django-based health risk prediction tool that
provides personalized feedback using clustering and
classification models. Tackled challenging
requirements by combining multiple ML approaches —
ensemble methods improved model reliability and
interpretability for end users.
Django
Python
K-Means
Classification
🔒
Jan 2023 — Apr 2023
Suspicious Activity Detection System
An ML-based system for identifying anomalous
activities in user behavior data. Implemented Random
Forest and SVM classifiers with rigorous feature
selection, normalization, and hyperparameter
optimization to achieve high precision in detecting
unusual patterns.
Python
Random Forest
SVM
Scikit-learn
