Sayeed Hassan
@sayeedhassan
I build production-grade machine learning systems for customer analytics, recommendations, and MLOps automation.
IndiaWhat I'm looking for
I've built production-grade machine learning solutions for customer segmentation, churn prediction, satisfaction analysis, and recommender systems, including live Streamlit applications.
My customer retention project segmented more than 93,000 customers into six personas and paired RFM analysis with an 82%+ accurate Gradient Boosting churn model, survival analysis, and CLV prediction. In an MLOps satisfaction-analysis project, I built a Random Forest regressor with 95% accuracy and reduced processing time by 70% through ZenML and MLflow automation.
I've also analyzed loan-book default probability during a JPMorgan Chase & Co. virtual internship, using statistical modeling and dynamic programming. I work with Python, MLflow, FastAPI, Docker, Azure, and modern AI tools to take models from experimentation to deployment.
Experience
Work history, roles, and key accomplishments
Estimated customer probability of default by analyzing a loan book using statistical modeling and dynamic programming. Converted FICO scores into optimized categorical buckets to improve default prediction signal quality.
Education
Degrees, certifications, and relevant coursework
University of Mumbai
Bachelor of Engineering, Civil Engineering
Grade: 8.28/10
Pursued a Bachelor of Engineering in Civil Engineering, achieving a CGPA of 8.28/10 with distinction.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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