Welcome.

I'm Oliver Kleinman

Student researcher interested in modelling incentives, behavior, and strategic decision-making.

About me

My work focuses on political and economic modeling, using data analysis to understand strategic behavior. I’ve worked in both academic research and startup environments, and I’m comfortable with the goals, pace, and tools of each. Currently, I’m especially interested in how people and institutions make interactive decisions in public policy and economic contexts. In my free time, I like to paint and collect soviet watches.

SQL/BigQuery R Python ArcGIS Behavioral Economics Optimization Communicatioon German Spanish

Projects

01

Nationalization Spatial Data Analysis

Worked in R and ArcGIS, building repeatable pipelines for spatial joins, political data analysis, and visualization, supporting insights into nationalization within and across countries.

RArcGISCommunication
02

Fixed-Income and Annuities Instrument

Developed fixed-income comparison instruments showing Charitable Gift Annuities are a more profitable financial vehicle than Commercial Annuities in 53% of age-tax-bracket pairings, yet remain underutilized, most likely due to poor marketing.

RBehavioral Economics
03

Textual Philosophical Aligment Classifier

Applied Word2Vec embeddings with LSTM and BiLSTM models to classify text by philosophical alignment using a corpus of philosophical texts with 89% accuracy.

PythonOptimization

Experience

Student Researcher

University of Pennsylvania

Jun 2025 - Present
  • Built comparative financial and behavioral instruments and models for annuities and fixed-income products
  • Analyzed how tax and institutional constraints shape adoption incentives
  • Iterated on research with faculty from multiple universities and a prominent philanthropist

Research Assistant

University of Pennsylvania

Jun 2024 - Dec 2024
  • Analyzed and visualized election data across multiple levels of geographies using spatial data analysis
  • Developed instruments, pipelines, and visualizations to accelerate continued research
  • Worked in multiple languages across heterogeneous data sources

Intern

Farm to People

May 2024 - Aug 2024
  • Analyzed customer aqusition cost by acquisition channel and identified the optimal acquisition channels and promotions by user
  • Optimized search results and worked on a personalization algorithm using collaborative filtering
  • Collaborated on a live business analytics dashboard using Hex and BigQuery

Education

University of Pennsylvania

Philosophy, Politics and Economics, BA: Choice & Behavior, Minor in Data Science

2023 - 2027
  • Data Science Club Team Leader, German Society Board, Venture Lab Member, Archery Club
  • Organized fixed-income roundtable event at Perry World House
  • MindCORE Research Assistant Training Program

Other Education and Certifications

  • City College of San Francisco - Intro to Programming (Spring 2021)
  • University of California, Los Angeles - Introduction to Data Science (Summer 2022)
  • Completion of the MindCORE Research Assistant Training Program with excellence (Spring 2024)
  • CITI Program Social and Behavioral Responsible Conduct of Research certification (Spring 2024)
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