Talha Amin
Data Scientist, Practicum Project @Amplytico
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WORK HISTORY
Data Scientist, Practicum Project @Amplytico
San Francisco, CA, US
Collaborating with senior leadership as part of the UC Davis MSBA practicum to develop data-driven forecasting and decision-support models for U.S. data-center expansion and energy-infrastructure planning.• Automated Python ETL pipeline for 5+ spatial predictors using large data sets of candidate sites via APIs and web scraping, creating database to correlate predictors with data center siting probabilities. • Conducted hypothesis testing (Welch’s t, Mann-Whitney U) for features’ statistical significance, controlling spatial noise and optimizing feature selection to get 5+ predictors for model inclusion.• Built a regularized logistic regression model with cross-validation to forecast site suitability with more than 85% balanced accuracy, narrowing candidate locations for data centers in southern California.• Validated predicted counties with industry research and delivered a stakeholder-ready report, presentation and Power BI dashboard with interactive heatmaps, providing actionable top 5-county recommendations.• Coordinated project execution across a 3-member team using a Gantt chart to manage timelines, distribute workstreams, and ensure on-time delivery of all milestones.
EDUCATION
University of California, Davis - Graduate School of Management
Master of Science - MS, Business Analytics
Cedar College
High School Diploma, Pre-Engineering
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Bachelor of Science - BS, Mechanical Engineering
ABOUT TALHA AMIN
I am an MSBA Candidate at UC Davis, where I focus on applying quantitative methods to transform complex data into actionable insights. My foundation in statistical modeling, hypothesis testing, A/B testing, forecasting, and machine learning helps me drive strategy and innovation with data.I combine academic rigor with hands-on experience in data management, SQL, data pipelines, and database design. This includes building ETL processes, gathering and cleaning data, and ensuring scalable access for analytics.My technical toolkit spans Python, R, SQL, MATLAB, Tableau, and Power BI, allowing me to manage the full analytics lifecycle, from data processing and predictive modeling to visualization and reporting. My engineering background adds a problem-solving edge that complements my analytical skills.I am building a career in Data Analytics and Data Engineering, while also exploring opportunities in Management Consulting. My goal is to bridge technical expertise with business strategy to help organizations optimize operations, forecast demand, and make informed decisions.
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