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RESUME OF Luke Finkielstein

Luke Finkielstein

(609) 751-1675

Princeton, NJ

Dickinson College — Carlisle, PA B.S. Candidate | Data Analytics & Mathematics Double Major | Expected Graduation May 2026

GPA: 3.83/4.0 Certifications: Google Advanced Data Analytics Certificate (Nov 2024)
Honors: Pi Mu Epsilon Honor Society, Dean’s List, Centennial Academic Honor Roll, Benjamin Rush Scholarship
Coursework: Statistical & Machine Learning, Data Systems, Data Science, Probability & Statistics, Agent-Based Simulation, Complex Analysis
Leadership: Captain of Dickinson Men’s Soccer (D3, Elite 8), Admissions Fellow responsible for interviewing college applicants

Programming & Data: Python (NumPy, pandas, scikit-learn, XGBoost, statsbombpy, SciPy), SQL, R, HTML, GitHub
Machine Learning: Predictive modeling, EDA, regression/classification, feature engineering, statistical testing, time series analysis, ETL/data pipelines, LLMs
Visualization: Tableau, matplotlib, seaborn, ggplot2, Excel, Jupyter Notebook

Northwell Health — Long Island, NY Analytics & Solutions Intern | June – Aug 2025

Completed intensive 5-week rotation across analytics and solutions, including healthcare analytics, software engineering, business development, and project management, gaining exposure to health informatics workflows and clinical decision support systems

Capstone Project: LLM Citation Classification Pipeline

Engineered an end-to-end Natural Language Processing pipeline in Python using Large Language Models (LLMs) to classify dataset citations in research papers as primary or secondary sources, enabling faster automated academic literature reviews
Built extraction layer using regular expressions and Named Entity Recognition (NER); applied LLM few-shot prompting and evaluated each iteration using standard metrics to improve model classification (+0.224 F1 improvement)
Selected the Qwen 2.5-Instruct model after reading Hugging Face documentation and CV comparison to other similar models
Presented methodology, project process, performance metrics, and business relevance to Northwell Health Analytics & Solutions senior leadership, demonstrating measurable performance gains and real-world applications in healthcare data science

Birmingham Legion, USL Championship — Birmingham, AL Technical Staff Data Analyst Intern | June – Aug 2025

Analyzed StatsBomb match data across 15+ USL Championship games using time series analysis to identify performance trends and tactical vulnerabilities; discovered defensive inefficiencies at left back, informing coaching staff adjustments
Designed weekly performance summaries and scouting reports in Python, Tableau, and PowerPoint, translating soccer domain knowledge into actionable tactical recommendations for game prep and player development
Collaborated with coaching staff to deliver data-driven insights that supported decision-making and season game-planning

Miller Environmental Group — Harrisburg, PA Data & Finance Summer Intern | May – Aug 2024

Standardized and consolidated 100+ financial and inventory datasets across Excel, NetSuite, and Salesforce, identifying and correcting pricing errors that improved data accuracy for downstream reporting and analysis

Princeton University Facilities Department, Office of Capital Projects — Princeton, NJ Assistant to Project Manager | June – Aug 2023

Assisted with office projects (Title IX, Art Museum) using PMWeb for data entry including budget, timeline, labor, area, tools, etc.

Special Olympics — Carlisle, PA Organizer | Mar 2022 – Present

Oversaw 4 Olympic-style event days for 100+ children with special needs, coordinating 200+ volunteers across 20+ activities, assigning time slots, and ensuring smooth operations for participants, families, and staff onsite

Team Impact — Carlisle, PA Mentor | Aug 2022 – Present

Mentored athlete with physical disabilities for 4 years, engaging 2-3x weekly at practices and games; supported personal growth through skill-building in soccer and fitness, fostered social connections, and provided feedback on his YouTube gaming content