Case Studies
Quantitative Decision Modeling
Advanced optimization and decision analysis case studies using Linear, Integer, and Non-Linear Programming with Excel's Analytic Solver.
Prescriptive AnalyticsOptimizationExcel Solver
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Quantitative Finance & Analytics
Assaf Bitton
Undergraduate at Baruch College majoring in Statistics and Quantitative Modeling, with a concentration in Data Science and minors in Mathematics and Economics. Coursework emphasizes predictive analytics, risk modeling, and data-driven decision-making.
3.94
GPA / 4.0
2027
Expected Graduation
Statistics & Quantitative Modeling
Major
Mathematics & Economics
Minor
3.94
GPA / 4.0
2027
Expected Graduation
Statistics & Quantitative Modeling
Major
Mathematics & Economics
Minor
About
Background & Expertise
I’m interested in applying statistics and programming to analyze data, build models, and solve complex quantitative problems. I enjoy working through uncertainty, designing analytical approaches, and translating results into clear, actionable insights.
Through coursework and projects, I’ve developed a strong quantitative toolkit that’s well suited for tackling data-driven challenges, including those that arise in financial and economic contexts. I’m motivated by problems that require careful reasoning, clean implementation, and thoughtful interpretation of results.
Programming & Software
PythonRAnalytic Solver for ExcelJASP
Statistical Methods
Logistic RegressionDecision TreesK-Nearest Neighbors (KNN)Integer ProgrammingMonte Carlo SimulationNetwork OptimizationRegularization (Lasso/Ridge)
Domain Expertise
Predictive ModelingQuantitative ResearchFinancial EngineeringOperations Research
Baruch College
Zicklin School of Business
BBA in Statistics and Quantitative Modeling with minors in Mathematics and Economics
Dean's Honors List
Academic Excellence
Maintaining a 3.94 GPA while pursuing rigorous quantitative coursework and working full-time as a real-estate field inspector
Research Focus
Predictive Analytics
Leveraging predictive and descriptive statistical research to explore risk and financial analytics
Technical Skills
Data Science
Proficient in Python, R, and statistical modeling techniques
Portfolio
Projects & Research
A collection of data science projects and statistical research exploring predictive modeling, analytics, and interactive data visualization.
Technical Library
Statistical Methods & Analysis
A comprehensive technical library of 7 case studies covering core and advanced statistical algorithms, from Regression to Machine Learning theory.
Technical LibraryMachine LearningStatistical TheoryR
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Research Paper
Predictive Modeling for Cardiovascular Mortality
Logistic regression model estimating cardiovascular mortality risk using 12 clinical features. Analysis performed using JASP software, achieving 85.6% accuracy with AUC of 0.897.
Healthcare AnalyticsLogistic RegressionJASP
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Research Paper
Baseball Team Performance Analysis
Statistical analysis examining how offensive and defensive metrics impact team wins, with franchise comparisons and trend analysis from 1990-2023.
Sports AnalyticsRegression AnalysisR
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Interactive Project
International Sports Rankings Analyzer
Interactive dashboard comparing sports rankings across six countries with CRUD operations, multiple chart types, and Wikipedia API integration for sport information lookup.
PythonData VisualizationAPI IntegrationCRUD
Explore Interactive Tool
Contact
Let's discuss opportunities
I'm actively seeking quantitative finance and risk analytics internship opportunities. I'd love to connect and discuss how my skills in statistical modeling and data analysis can contribute to your team.