Muntazir Fatema

I’m an aspiring Machine Learning Engineer and B.E. ECE student who loves turning ML ideas into deployed products. I’ve worked end-to-end with real datasets, from EDA and feature engineering to model training, tuning, and deployment.

My projects include an ECG Anomaly Detector and a Credit Card Fraud Detection app—both built with ML models and dimensionality reduction using PCA. I also built a Drug Recommendation System, training and comparing multiple models to deliver accurate, explainable predictions, then deploying the apps with a professional Flask UI.

I’m comfortable with practical deployment workflows (Flask on Render) and I stay current through trainings and certifications like Generative AI & LangChain. I’ve also practiced building with APIs (OpenAI API ready) to connect models to real applications.

Alongside ML work, I’ve managed a virtual tuition business, where I planned lessons, tracked progress, and communicated with parents consistently. From Day 1, I bring that same ownership mindset to a remote ML/Data Science internship—ready to learn fast and ship useful models.