Remote Virtual Assistant & Program Coordinator

Jerry P. Kulah, II

************@*****.*** 717-***-**** Jerry P. Kulah, II LinkedIn

EDUCATION

Gettysburg College, Gettysburg, PA, Bachelor of Arts in Economics, Minor: Data Science (GPA: 3.5) May 2026 Upcoming Certificate: FINRA Securities Industry Essentials Volunteer/Leadership: President (Gettysburg African Student Association), Financial Analyst (Pre-College Internship) Honors: United World College Scholar, Eisenhower Institute Summer Fellow, Cum Laude, Pi Lambda Sigma, Omicron Delta Epsilon, Yale Young African Scholars, International Leadership Institute WORK EXPERIENCE

Project Destined, Remote

Real Estate Private Equity Intern July 2026 – Present

● Participating in a 5-week real estate private equity training program, where I am underwriting three multifamily deals in both team and individual settings, culminating in a private equity investment competition Halcyon, Washington, DC

Data Analytics & Impact Research Internship Jun 2025 – Aug 2025

● Built a real-time analytics dashboard integrating financial and operational KPIs across 50 ventures, applying time-series analysis to monitor data integrity and identify performance trends and risk exposures across FinTech, equity, and healthcare portfolios.

● Evaluated 3 AI automation tools, validating outputs and aligning recommendations with data accuracy standards to improve analytical workflow efficiency.

Gettysburg College, Gettysburg, PA

Supervisor, Intramural Sports Program Aug 2024 – May 2026

● Managed end-to-end coordination of 12 annual tournaments serving 400+ participants, resolving conflicts professionally, maintaining compliance standards, and consistently delivering results across concurrent high-pressure programs. Centre for Public Service, Gettysburg, PA

Student Program Coordinator May 2023 – May 2026

● Managed end-to-end coordination of 5-7 annual programs across the U.S. and internationally, overseeing budgets and logistics for 50+ stakeholders with consistent on-time execution.

● Designed and facilitated pre-trip workshops integrating strategic planning and business analysis, and analyzed participant and stakeholder data to define requirements and drive process improvements. Student Consultant Dec 2023 – Apr 2024

● Applied a consultative approach to collect and analyze data from 100+ stakeholders, translating complex findings into compelling strategic recommendations that drove a full organizational rebranding.

● Synthesized data-driven insights into persuasive stakeholder communications, contributing to a 2x increase in participation by bridging client challenges with actionable, value-driven solutions. Grant Recipient & Program Director, Jan 2023 – Aug 2023

● Secured and managed a $10,000 grant, overseeing end-to-end budget management, expenditure reconciliation, compliance documentation, and impact reporting for a multi-site community initiative.

● Mentored 35 students who launched 7 social impact projects reaching 1,000+ residents, evaluating outcomes through structured performance metrics and stakeholder feedback.

DATA ANALYTICAL EXPERIENCE

Gettysburg College, Gettysburg, PA

Investment Analyst Applied Finance Project Jan 2025 – Dec 2025

● Built Python and Excel quantitative models to value securities and financial instruments, conducting equity valuation, VaR and CVaR risk assessments, and sensitivity analysis across a 10-company simulated portfolio.

● Stress-tested investment strategies across market scenarios and asset classes, achieving annualized returns of up to 55% through rigorous scenario analysis and quantitative modeling. Researcher, Economic Development Research Aug 2025 – Dec 2025

● Conducted time-series analysis across 40+ years of macroeconomic and static data using STATA and Python, applying econometric modeling to examine fiscal policy impacts and produce data-driven recommendations.

● Built and validated large-scale statistical models, performing regression analysis, root cause analysis, and risk factor analysis to support investment strategy conclusions.

Analyst, Applied Data Science Research Aug 2025 – Dec 2025

● Developed machine learning models in Python, including Random Forest and Linear Regression, achieving 84% predictive accuracy across 940 U.S. institutions through rigorous model validation and reconciliation.

● Analyzed large institutional datasets using Python and SQL, applying quantitative methods consistent with equity risk analytics, benchmark performance, and market data analysis.

SKILLS

Programming & Tools: Python, R, STATA, SQL, Java (OOP), Advanced Excel, Power BI, Tableau, Microsoft Office Suite, Claude and Gemini (AI)

Analytics & Reporting: VaR, CVaR, CAPM, Equity Valuation, Scenario Analysis, Stress Testing, Portfolio Optimization, Time-Series & Static Data Analysis, Volatility Analysis, Econometric Modeling, Financial Modeling, Data Reconciliation & Validation, Machine Learning

(Random Forest, Linear Regression), Data Visualization Professional: Quantitative Research, Business Analysis, Reconciliation & Root Cause Analysis, Cross-Functional Collaboration, Analytical Problem Solving, Attention to Detail, Business Writing, Stakeholder Communication, Client Relationship Management, Deadline Management, Standard Operating Procedures

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