About Me
Motivated and detail-oriented Computer Science graduate with strong foundations in Data Science, Machine Learning, and Artificial Intelligence. Skilled in Python, SQL, RAG, LangChain, Vector Databases, Deep Learning and Data Visualization.
Skills & Technologies
Work Experience
Data Science Intern
Implemented end-to-end data science pipelines including data preprocessing, feature engineering, model training, and evaluation. Applied machine learning algorithms such as KNN, Decision Trees, and Random Forest for predictive modeling. Optimized model performance using techniques like hyperparameter tuning and cross-validation.
Data Science Intern
Performed exploratory data analysis (EDA) to identify trends and correlations in datasets. Developed machine learning models using Scikit-learn including Linear Regression and Random Forest. Evaluated models using MSE, RMSE and r2 score to improve prediction performance. Built data visualizations and dashboards using Power BI and Matplotlib to communicate insights.
Projects
Docx-Based Question Answering System using RAG
Developed an intelligent document retrieval system using LangChain, FAISS, and Large Language Models. Implemented semantic search using Hugging Face embeddings for accurate information retrieval, improving retrieval relevance by 30–40%. Created an interactive web interface using Streamlit for real-time document upload and querying.
Real-Time Video Analytics System using YOLO and Object Tracking
Built a scalable real-time video analytics system using YOLO and tracking algorithms for object identification across frames. Implemented trajectory tracking and event detection (line-crossing) to analyze object movement patterns in video streams. Achieved real-time performance with FPS monitoring and optimized inference pipeline for low-latency video processing.
Heart Disease Prediction
Performed exploratory data analysis to identify relationships between medical attributes. Built classification models including Logistic Regression and Random Forest to predict disease risk. Achieved ~90% accuracy on test data.
Education
Bachelor of Technology
Computer Science