Caleb Boateng

Portfolio

Assessing Market Risk of S&P 500 Companies Using Support Vector Machines

Evaluate potential of Placer.ai dataset in enhancing investment decisions

August 2022 – June 2026

Bachelor of Science: Statistics; GPA: 3.71

Relevant Coursework: Intro to Data Science, Intro to Computing, Intro to Quantitative Finance, Statistical Learning, Financial Accounting

June 2024 – July 2024

Investment and Data Science Intern

Conducted comprehensive research and company valuation for company in the construction sector, then presented our findings, successfully impacting investment decisions
Led renovation of deal database in order to streamline valuation process
Executed exploratory data analysis, then implemented machine learning in support of company valuation, ultimately impacting company-wide decisions

December 2023 – Present

Member

Co-developed Mid-Dash, a student-run online food delivery service, focusing on data-driven user experience enhancements
Expanded technical skills in backend development; gained hands-on experience with databases and server-side scripting for robust web applications

June 2023 – July 2023

Research Intern

Integrated data with the framework program Camel to track the gaming company’s prices, its overall value, and competitors
Presented insights on generative AI, leveraging industry sentiment and usage trends for team understanding

City Squash, Team Member and Volunteer (January 2012 – Present)

Middlebury Squash Team, Member (September 2022 – Present)

Middlebury Track and Field, Member (February 2023 – Present)

Data Analysis: R Studio, MATLAB, Predictive Modeling, Sentiment Analysis, Time-Series Analysis
Programming: Python, Node.js, Express, MongoDB
Tools: Microsoft Suite, Google Suite, Yahoo Finance API
Languages: Spanish (Proficient)