Professional Overview
I am Namir Shah, a Machine Learning and Data Science Engineer with hands-on experience in AI, data analytics, and generative applications. At EiPi Media, I worked as a Generative AI Engineer, where I developed projects like an AI Calorie Prediction App using YOLOv8 and GPT-5, a 3D Figurine Generator, and the IndiGo Skydiver App, integrating Gemini Nano, FAL API, and FastAPI for AI-based video and image generation. Previously, at 5nance.com, I analyzed large-scale financial datasets using SQL and Python, optimizing queries and extracting actionable insights on stock market trends. I also gained experience through internships at BharatIntern and MagikKraft, contributing to model development, automation, and data visualization. My projects — including Netflix Stock Prediction, Amazon Product ETL Pipeline, Spotify Data Analysis, and Crypto Trading Assistant — demonstrate my strong technical foundation in Python, FastAPI, SQL, Flask, and Power BI. I have completed my Bachelor’s in Data Engineering from Universal College of Engineering and am passionate about building data-driven AI systems, exploring generative models, and developing scalable AI solutions for real-world impact
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
