A real-world project to optimize SKU-level pricing dynamically, based on demand patterns, competitor behavior, and inventory signals.

Repository for my daily data cleaning practice with Pandas and Polars

Repository for 10 SQL Questions per day: 3 subquery-based | 3 CTE-based | 3 window function-based

My hands-on NLP learning journey, combining theory, code, and real-world practice using, NLTK, spacy and scikit-learn.

A complete object-oriented modular-based implementation of ANN,CNN, DNN and RNN using TensorFlow & Keras.

Developed a robust machine learning model (XGBoost), to demonstrate how data science can directly support energy optimization, sustainability goals, and cost-effective production planning.

Detects fake faces (images, videos, masks) in real time using a YOLOv8-based liveness model — built for integration into secure biometric authentication systems.