I build data-driven systems that solve real-world problems. Using Python and machine learning, I work on tasks like anomaly detection, recommendation systems, and intelligent search. My projects include a RAG-based AI assistant and a real-time anomaly detection system, designed with a focus on accuracy, scalability, and performance.
Hire MeBuilt a retrieval-augmented generation system using LangChain and FAISS to answer queries from 500+ documents with improved accuracy and response quality.
Developed a real-time anomaly detection pipeline using Isolation Forest with live monitoring, feature engineering, and a Streamlit dashboard.
Machine learning model to classify applicants as good or bad credit risk using multiple algorithms and deployed with a Streamlit app.
Built a machine learning pipeline to detect fraudulent financial transactions using transaction patterns and deployed it as an interactive web app.
End-to-end business analysis uncovering revenue trends, customer insights, and discount impact to drive strategic decision-making.
Python-based recommendation system using similarity metrics and user interaction data to suggest relevant pages.
Exploratory data analysis on Instagram datasets to extract engagement patterns and behavioral insights.
Core Programming
Interactive Analysis
Data Manipulation
Numerical Computing
Data Visualization
Data Querying
Machine Learning
Web Apps & Deployment
LLM Applications
Vector Search
AI Integration
Data Modeling
Got an exciting project, a wild idea, or just want to brainstorm? Let’s connect and create something incredible together.