ANIK BASU

Data-driven professional with experience in machine learning, data analytics, and cloud computing. Proficient in Python, TensorFlow, and Tableau, with a proven ability to develop scalable AI/ML solutions for real-world challenges. Adept at collaborating in team environments to deliver innovative projects in predictive modeling, data visualization, and web application development.

Emotion-Based Media Recommender: Developed a real-time emotion recognition system using OpenCV and DeepFace to detect user states, utilizing voice commands to deliver stabilized, personalized media recommendations.

Monetary Policy & Market Analysis : Conducted time-series analysis on NIFTY 500 data using LSTM forecasting to evaluate repo rate impacts, implementing dynamic thresholding to classify market anomalies.

TelecomQA Bot & Stock Scraper : Engineered an NLP-driven telecom support bot and stock scraper using ChromaDB, FLAN-T5, and Selenium to automate query resolution and extract real-time BSE Sensex data.

E-commerce Insights Dashboard: Designed an interactive Tableau dashboard to analyze customer behavior, implementing dynamic filters and calculated fields to identify high-value demographics and revenue trends.

Physics-Guided Solar Forecasting: Developed a Physics-Guided LightGBM framework using NASA POWER API to model aerosol-humidity interactions, achieving 94.5% accuracy to minimize grid penalties.

Digital Forensics & Vision Pipeline: Engineered a camera source attribution system using OpenCV, PRNU, and YOLOv11 to identify devices via sensor noise fingerprints, automating multi-task object detection and segmentation.