Nawab Zadi
@nawabzadi
I build and deploy machine learning applications, APIs, and accessible web experiences.
What I'm looking for
I've built end-to-end machine learning applications, including a customer churn prediction pipeline using Python, Scikit-learn, XGBoost, FastAPI, and Docker. I achieved 86.9% recall at the selected threshold and deployed the containerized REST API to SnapDeploy.
As a Data Scientist Intern at CodeAlpha, I developed multi-class classification models, performed exploratory data analysis and feature engineering, and deployed interactive ML applications on Hugging Face Spaces. I also developed frontend components and Selenium regression tests at OnRoad24Seven ApS, and mentored 50+ students in programming and web-development labs at Rasul College of Technology.
Experience
Work history, roles, and key accomplishments
Data Scientist Intern
CodeAlpha
Jun 2026 - Jul 2026 (1 month)
Developed multi-class classification models using Python and Scikit-learn on experimental datasets. Performed exploratory data analysis and feature engineering using Pandas, NumPy, and Seaborn, and deployed models to Hugging Face Spaces.
Education
Degrees, certifications, and relevant coursework
University of Gujrat
Bachelor of Science, Computer Science
Grade: 3.53
Pursuing a Bachelor's degree in Computer Science with a CGPA of 3.53.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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