Python | SQL | C
MySQL | MongoDB | ChromaDB
Statistics | Probability
Machine Learning | Deep Learning | Natural Language Processing |
Generative AI
AWS | CI/CD | Pyspark | ETL | GIT | Docker | MLFlow | Azure
An AI system for detecting phishing URLs using ensemble learning and advanced feature engineering.
A machine learning-powered pipeline to predict academic success, seamlessly deployed on Azure using GitHub Actions.
This project focuses on building a machine learning model to predict flight delays based on historical and real-time flight data. The goal was to assist travelers and airlines by providing early warnings about potential delays, improving planning and decision-making.
A Restaurant Rating Analyzer using Autogen's sequential chat patterns. The system is designed around a multi-agent conversational architecture and leverages ChatGPT Mini for lightweight, efficient NLP processing.