Alisha Surabhi
Data Science and Machine Learning Intern @Wealthtender
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WORK HISTORY
Data Science and Machine Learning Intern @Wealthtender
Austin, TX, US
Building a NLP-driven “Relationship Alpha” framework that transforms unstructured advisor reviews into actionable trust, engagement, and product differentiation insights across 50K+ monthly users
EDUCATION
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology - BTech, Computer Science
Indian Institute of Management, Calcutta
Master of Business Administration - MBA
Texas McCombs School of Business
Master of Science in Business Analytics - MSBA
SKILLS
ABOUT ALISHA SURABHI
I am an MS in Business Analytics graduate from the University of Texas at Austin (McCombs School of Business) with 6+ years of experience driving analytics-led impact across financial services, risk strategy, and portfolio optimization. With an MBA from IIM Calcutta and a foundation in technology and quantitative modeling, I operate at the intersection of business strategy and data science.At American Express, I led profitability and risk analytics initiatives for multi-billion-dollar portfolios, building automated SQL pipelines, executive dashboards, and predictive customer models that delivered $12M+ in annual profit improvement and reduced default risk by double digits. Earlier at Axis-Max Life Insurance, I identified multimillion-dollar revenue opportunities and supported product launches through contribution modeling, pricing analytics, and customer segmentation strategies.My expertise spans machine learning, predictive modeling, risk analytics, and lifecycle value optimization using Python, R, SQL, Tableau, SAS, and Power BI. I enjoy transforming complex datasets into structured decision frameworks that influence capital allocation, growth strategy, and operational efficiency.I am now seeking opportunities in data science, product analytics, and strategic analytics roles where I can combine advanced modeling with business judgment to drive measurable impact in dynamic, high-performance environments.
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