Betsy Alter
AI Tech Lead/Quantitative Analyst @ RBF Capital, LLC
About
Passionate about data analytics and strong quantitative mindset. Currently approach investing holistically and creatively, while incorporating real time trends the market has not appreciated yet. My long term goal is to make a difference in improving financial literacy, specifically for disadvantaged families and individuals with disabilities. Technical & Soft Skills: - Languages: Python, R, SQL, Stata - Data wrangling, web scraping, data manipulation - Machine learning - Models: Regression analysis, difference in difference modeling, randomized control trials, structural estimation, simulations, regression discontinuity - Leadership and team management - Intermediate Japanese proficiency - Digital Marketing (Instagram, Twitter, Canva)
United States
Reno
Financial Services
Machine Learning, Artificial Intelligence (AI), Finance, Data Science, Econometrics, Economics, Customer Service, Leadership, Public Speaking, Management, Marketing
Experience

AI Tech Lead/Quantitative Analyst
Reno, Nevada, United States
AI Tech Lead: Lead initiative to build an internal AI platform with a comprehensive data lake powered by sophisticated ML techniques. Develop relationships with AI vendors, train proof of concept models for various segments of the project, and manage the hiring of the team build-out. Quantitative Analyst: Collect and analyze qualitative and quantitative data to support a proprietary winning investment strategy. Approach with many methods including coding and building models using various languages, conducting interviews, creating data visualizations, and writing detailed reports. Focus on the underlying goal of finding companies who profile the intersection of quality, value, and momentum. Specifically target research of consumer-centric companies to detect incremental behavioral changes that have not yet been priced into the stock.

Graduate Consultant
San Luis Obispo, California, United States
Developed machine learning models (Ridge, Random Forest, SVM, NN) using survey and satellite data to determine the most accurate method to predict long term adoption of Good Agricultural Practices (GAPs) in developing countries. Worked in a team of four students to code the models and write a research paper to report findings.

Student Ambassador
San Luis Obispo, California, United States
MS in Quantitative Economics Program Ambassador. Collaborated with the MSQE Program Director to lead monthly information sessions for prospective students and continuously update relevant program information. Projects included updating information about alumni data and analyzing it to disseminate to current and prospective students.

Teaching Assistant
San Luis Obispo, California, United States
Graded 39 weekly group assignments for undergraduate Survey of Economics course taught by Dr. Katya Vasilaky. Proctored exams as needed throughout the quarter. Concepts covered: Elasticity, market structure, taxation, externalities, and monetary system.

SEA 4 Substitute
Worked with a student 1:1 to create a video series in a remote setting. Established interviewing and other interpersonal skills with the student. Created weekly unique presentations backed by evidence based strategies and practices.

Intern Fellow II
Led 40+ interns in Supervisor Canepa’s internship program who produce legislation, organize webinars, and analyze data to help Supervisor Canepa make decisions regarding the county. Managed Supervisor Canepa's social media platforms by creating content, analyzing engagement, and establishing connections. Wrote resolutions and legislation for the County of San Mateo. Responded to constituents in a quick and informative manner.

Distance Learning Tutor
Aided two students with distance learning difficulties by helping them stay focused and engaged with course material.
Education

Econometrics and Quantitative Economics
Coursework: - Advanced Econometrics I & II - Computing and Machine Learning (Python focus) - Microeconometrics - Dynamic Stochastic Modeling - Financial Time-Series Analysis - Microeconomic Analysis - Machine Learning for Prediction and Causal Inference

Economics Major & Law and Society Minor
Departmental award recipient for outstanding scholarship in Economics. Relevant Coursework: Mathematical Economics, Econometrics, Heterodox Macroeconomics, Environmental Economics, Japanese IV, Calculus II, Art of Logic, Macro-Economic Theory, Micro-Economic Theory
Betsy Alter's Contact Information
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