Zishan Khatib
@zishankhatib
Early-career data and machine learning builder turning messy transaction and revenue data into decisions.
IndiaWhat I'm looking for
I’ve built data and analytics projects that start with SQL and end with decisions people can use—like subscription revenue intelligence and customer retention analysis.
For fraud detection, I trained Logistic Regression and Random Forest models with SMOTE/ADASYN and explainable fraud indicators, then deployed the best Random Forest as an interactive Streamlit app for real-time predictions.
On the analytics side, I reconstructed ~228K subscription lifecycle records and used SQL window functions for cohort retention, churn, LTV, and revenue health across customer segments.
I also dug into retail revenue using Pareto analysis and repeat-purchase patterns, then packaged the findings with Month-over-Month/Year-over-Year views and clear visualizations.
Experience
Work history, roles, and key accomplishments
Corporate Relations Coordinator
E-Cell IIT Bombay
May 2021 - Jul 2022 (1 year 2 months)
Core team member for Eureka, Asia's largest business model competition with 12,000+ entries and 8M prize pool. Built relationships with national media houses and ran the Start-Up Connect Program.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Bombay
Bachelor of Science, Chemical Engineering
Pursuing a BS in Chemical Engineering at the Indian Institute of Technology Bombay, expected graduation in August 2025.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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