Projects
Analyzer and ANFIS Predictor Model for Travel Data
Built a Django-based system using real-time travel data from Kaggle and Amadeus APIs to predict and recommend travel prices, visualize trends, and generate insights.
Cloud-Native Data Science Pipeline
Designed an end-to-end ML pipeline using Kubernetes, Docker, TensorFlow, Kubeflow with deployment on AWS cloud storage, focusing on MLOps and scalable model automation.
Context-Aware Chart Recommendation System
Created a recommendation engine for data dashboards using NextJS, ReactJS, and ML to suggest appropriate charts based on input data context and historical patterns.
Product Catalogue Application
Developed a Flask web app integrated with Azure Blob Storage and Computer Vision, enabling users to add, delete, and list products with AI-generated image descriptions.
Graph Visualization
Visualized complex graphs using Gephi and Jupyter, applying layouts like Fruchterman-Reingold and ForceAtlas2; analyzed node degree and clustering properties.
Pricify - Shopping Webscraper and Notifier
Built a full-stack web app using NextJS, ExpressJS for tracking product prices across platforms and notifying users about significant price drops.
Signal Transmission and Reception
Used HackRF One and GNU Radio to build and analyze wireless signal transmission systems, investigating modulation impacts and noise resilience.
Audio Signal Statistical Analysis
Analyzed audio signals in MATLAB, applied FIR filtering, DFTs, and studied time-frequency domain relationships for signal processing tasks.