Economics + Data Science · UMass Amherst ’27
I’m Alan Grebelsky, an early-career analyst pursuing a career in wealth management. I bring an Economics and Data Science background to financial analysis, client-focused decision making, and technology-enabled strategy.
Profile
Economics and Data Science student at UMass Amherst focused on using analysis and technology to improve decisions, products, and operations. I’m currently contributing to AI-native product strategy, research, and go-to-market work at Lantern.
My primary focus is wealth management, where I can combine financial knowledge, analytical thinking, and strong client relationships. I’m also preparing for the SIE while continuing to build experience across financial analysis, data analytics, AI strategy, and technology.
Experience
Real-world experience translating research, customer needs, and operational goals into action.
Business Operations & AI Strategy Intern
Telephone Sales
Co-Founder
Selected work
Data Science · R / RStudio
Analyzed 50,000 synthetic vehicle sales records across 15 years to investigate regional pricing, model performance, and engine-size relationships.
Business Strategy · Research
Worked directly under the co-founder and collaborated with the engineering team to research AMS competitors and map CRM, finance, member-portal, and segmentation capabilities for LanternBRP product strategy.
Econometrics · R
Examined the relationship between higher education attainment and income using public data and regression methods.
Market Analysis · Excel
Modeled how texture, acidity, and alcohol content influence pricing; the regression produced an R² of 0.71.
Software · Python
Built inventory, payment validation, purchase flow, balance tracking, and per-item sales analytics with Python OOP.
Software · Python
Designed a programmable thermostat class with chronological scheduling and interval lookup logic.
Product Strategy · Go-to-Market
Worked directly with the Chief Product Officer and engineering team to help create and finalize a recruiter operating-system demo integrating cross-brand analytics, recruiting workflows, financial operations, and AI-assisted prioritization.
Capabilities
Python · R / RStudio · SQL · Excel · Machine Learning · Statistical Modeling · Data Visualization
Financial Management · Market Research · Business Operations · Strategy · Financial Markets
AI Strategy · Automation · Data Analysis · Product Research · CRM
Leadership · Team Building · Problem-Solving · Adaptability · Client Relationships
Languages
English — Fluent · Russian — Fluent · French — Beginner
Finance preparation
SIE (in progress)
Education
B.S. Administration of Economics · Secondary Major: Informatics – Data Science
Candidate, December 2027
Amherst, MA · GPA 3.7
Manning College of Information & Computer Sciences / Social and Behavioral Sciences. Coursework includes machine learning, public data analysis, econometrics, and financial planning.
Data Science Club · Economics Club
Completed one semester before transferring to UMass Amherst.
Interactive profile
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