About Jennifer Yoon

Jennifer Yoon Bio

• Contact email: "datasciY.info@gmail.com"
• Jennifer Yoon's Resume: data science resume PDF
• GitHub Profile: GitHub.com/JennEYoon
• Stack Overflow Profile: user:4693491, user name: Jennifer Yoon
• Job Recs: Crescat Capital LLC, former client

I am a self-taught Data Scientist. My focus is on the Python machine learning and deep learning ecosystem. I am building out my portfolio while looking for a full-time job or consulting opportunities in Data Science. I am also a Derivatives Trading & Risk Consultant (MBA, Certified FRM). I provide consulting services to clients on financial derivatives and risk management topics. My work experience includes the SEC (Financial Analyst, Economist), KPMG (Senior Manager), NERA (Senior Derivatives Analyst), and Crescat Capital (External Risk Management Consultant). In 2024, I am working on LLM (large language model) projects with local Meetup fellows, and looking for ways to use deep learning tools in finance and economics.

I received an MBA degree from the University of Chicago, Booth School of Business, and a Certified Financial Risk Manager (FRM) designation from GARP. I received a B.A. degree from Mount Holyoke College, with a major in economics and minors in physics and music. I received a high honors in economics based on my research project & senior thesis, Innovation in the Computer Industry: with Case Studies.

Language and Subject Tags:

• Python (core, Pandas, NumPy, Matplotlib, Scikit-Learn, PyTorch), Jupyter, SQL, Excel VBA
• Linux bash (WSL), Git & Github, AWS, Colab
• machine learning, classifiers, clustering, random forest, deep learning, image recognition, visualization
• econometrics, time-series, ARIMA, GARCH, regression, factor analysis, Value at Risk (VaR), Expected Shortfall
• extreme value theory, Monte Carlo methods, numerical methods, probability, linear algebra, partial differential equations (PDE), stochastic calculus, stochastic processes

Certificates:

• Certified Financial Risk Manager - FRM Certificate PDF
• Intro to Interactive Programming in Python, Coursera.org - Certificate PDF
• R Programming, Coursera.org - Certificate PDF
• R Toolbox (with Git and GitHub), Coursera.org - Certificate PDF
• Mathematical Bio Statistics Boot Camp I (Johns Hopkins Univ), Coursera.org - Certificate PDF
• Statistical Learning with R (Hastie and Tibshirani), Stanford Open-Online - Certificate PDF
• Intro to Databases (Jennifer Widom), Stanford Open-Online - Certificate PDF

Continuing Education Classes:

• math & statistics: numerical methods (GMU), applied probability (GMU), partial differential equations (GMU), ordinary differential equations (NOVA), linear algebra (NOVA), vector calculus (NOVA), stochastic calculus (GMU audit)
• accounting: taxation for individuals (NOVA), taxation for corporation, partnership, and trusts (NOVA), principles of accounting I and II (NOVA), intermediate financial accounting (NOVA), cost accounting (American Univ)

Classes from Graduate and Undergraduate degrees:

• computer science, physics, chemistry, biology: circuit design (discrete math, gate logic), pascal programming, advanced electronics, electricity and magnetism, newtonian physics, intro chemistry, organic chemistry, intro biology, biology of plants and animals
• math and statistics (econometrics): advanced econometrics (Chicago), intro to econometrics (Amherst College), applied statistics (Chicago), linear programming (Chicago), intro statistics (MHC), Calculus I (MHC)