Aaron Schlacht
New York
Summary
I am a Mathematics and Computer Science student at Columbia University because I genuinely enjoy abstract problem solving, especially through quantitative methods and logical reasoning. Much of my time is spent building: writing code, analyzing and leveraging datasets, and experimenting with tools like SQL, Python, JavaScript, HTML, and CSS, which I find fascinating for their wide range of applications. Recently, this has included developing a web application (Forum) and building small data tools that incorporate elementary machine learning techniques. I’m especially interested in the ways software and data can surface patterns that aren’t obvious at first and help people make better decisions.
Overview
1
1
year of professional experience
Work History
Co-Authored ICM/MCM Research Paper
Columbia University
New York, NY
01.2026 - 03.2026
- Built predictive ML models to forecast Olympic medal counts using Random Forest algorithms and historical country-level data
- Developed a logistic regression model with L1 regularization to predict first-time medal-winning countries
- Conducted sensitivity analysis and 10-fold cross-validation to test model stability and accuracy using metrics like R², MAE, and RMSE
- Used Python libraries including scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn for data preprocessing, feature engineering, and visualization
Creator and Manager (Personal Project)
Forum
New York
11.2025 - Current
- Building a free, social web platform where users can track their reading, organize custom bookshelves, write reviews, and connect with friends over shared literary interests.
- Developed with JavaScript, Node.js, and SQL, with a scalable backend structure and intuitive, reader-friendly interfaces.
- Features include user authentication, personalized shelf tagging, review sharing, and book-based social feeds to encourage intellectual curiosity, discussion, and connection.
Strategy Intern
Klay Media
Beverly Hills, CA
01.2025 - 04.2025
- Performed data-driven competitive analysis using quantitative and qualitative research to evaluate market trends and product positioning.
- Analyzed internal datasets to optimize resource allocation and support strategic planning decisions.
- Developed and deployed HTML/CSS improvements to website structure and UI, increasing traffic performance and user engagement.
Data Analytics
Google
11.2024
- Completed coursework in data cleaning, analysis, and visualization using tools like SQL, Tableau, and R.
- Built foundational knowledge in data-driven problem-solving and decision-making.
Game Theory
Stanford
01.2025
- Completed coursework on strategic decision-making and mathematical models of competition and collaboration.
- Developed skills in applying game theory to real-world business and economic scenarios.
Education
Bachelor of Science - Mathematics and Computer Science
Columbia University
New York, NY01.2028
Bachelor of Science - Business Administration and Entrepreneurship
Reichman University
Economics
Santa Monica College
Skills
- Python, Java, SQL
- Statistical Analysis
- Predictive Modeling
- Big data analytics
- API development
- Business intelligence
- Communication skills,
- Collaborative Project Management
- Software development
- Data visualization and presentations
- Analytical problem solving
- Google analytics
Timeline
Co-Authored ICM/MCM Research Paper
Columbia University
01.2026 - 03.2026
Creator and Manager (Personal Project)
Forum
11.2025 - Current
Strategy Intern
Klay Media
01.2025 - 04.2025
Game Theory
Stanford
01.2025
Data Analytics
Google
11.2024
Bachelor of Science - Business Administration and Entrepreneurship
Reichman University
Economics
Santa Monica College
Bachelor of Science - Mathematics and Computer Science
Columbia University