👋 Hi, I'm Minhaz Uddin!
🔥 Aspiring Data Scientist | Focused on Data Analysis, AI/ML & Research
Data Scientist with hands-on experience in machine learning, focusing on deep learning models, time-series forecasting, computer vision applications, including CNNs and YOLO-based object detection, OCR pipelines using Python and PyTorch. Experienced in end-to-end data preprocessing, model deployment, and building production-ready ML solutions, with a strong commitment to continuous learning and innovation in AI.
- BookVisionX – AI Book Recommender: An AI based book recommender system.
- Car Distance Estimation: A real-time computer vision pipeline for estimating relative object distance by integrating YOLO-based object detection with monocular depth prediction using MiDaS with a DPT-Large backbone.
- Sign Language Recognition (Mini Project): A real-time sign language recognition (SLR) system that combines visual object detection with pose-based temporal modeling.
- Olist E-commerce Dashboard: A comprehensive data analytics and business intelligence solution built on the Olist Brazilian e-commerce dataset.
- Olist Seller Segmentation: Seller segmentation for the Olist Brazilian e-commerce platform with the objective of identifying distinct seller groups based on revenue contribution, operational reliability, and customer satisfaction.
- Power BI and Tableau Visualization: A practice showcasing the Power BI and Tableau skills.
- Used Car Price Prediction: A used car price predictor with machine learning.
- Movie Recommendation System: A movie recommender system.
- Demand Forecasting using Temporal Fusion Transformer (TFT): Analyzes historical demand data from a multi-product, multi-warehouse supply chain and develops a structured forecasting and planning framework that explicitly accounts for demand heterogeneity and uncertainty.
📫 Let's Connect! I'm actively looking for opportunities to join a dynamic team. If you're hiring or want to collaborate, reach out!