Projects
Projects
Selected work from my public GitHub portfolio.
Data Science Portfolio Platform
Full-stack data science portfolio web application showcasing multiple analysis case studies across finance, healthcare, ECG signal processing, audio analysis, and general analytics. Built with React, Express, PostgreSQL, and Drizzle ORM with production deployment on Render.
Whisper Streaming Transcriber
Speech-to-text pipeline built with Whisper-style inference supporting file transcription, chunked streaming, FFmpeg preprocessing, and latency benchmarking for real-time captioning workflows.
Real-Time Speech Transcription Pipeline
Python-based real-time speech-to-text pipeline with audio preprocessing, MFCC feature extraction, and PyTorch inference to simulate low-latency ASR workflows.
ASR Performance Benchmark Toolkit
Benchmarking toolkit for speech-to-text pipelines measuring latency, throughput, and preprocessing cost for real-time audio inference systems.
Audio & Signal Processing Projects
Collection of audio and biomedical signal processing projects including speech emotion recognition, ECG denoising, and spectral analysis using Python, NumPy, and signal processing techniques.
PINN Thesis and Research Modeling
Research project on Physics-Informed Neural Networks (PINNs) for scientific modeling using differential equation constraints and custom loss functions for research-driven experimentation.
CNN for Pneumonia Diagnosis
Deep learning project for medical image classification using convolutional neural networks to detect pneumonia from chest X-ray images with model training and evaluation.
Document Question Answering System
Document-based question answering application using NLP and LLM embeddings allowing users to upload documents and query them using natural language.
Equity Portfolio Analytics
End-to-end financial analytics project with portfolio return calculation, risk metrics, benchmark comparison, and interactive dashboard visualization using Streamlit.
Marketing Analytics Customer Insights
Marketing analytics pipeline using SQL Server, Python, and Power BI to analyze engagement, sentiment, and campaign performance.