# About Jennifer Yoon

Contact email: jenn@jenniferyoon.com

Personal website: JenniferYoon.com

Linked-In profile: linkedin.com/in/jenniferyoon

Jupyter Notebooks: Public2017 on Microsoft Azure ML

Jennifer Yoon's Resume: resume-PDF

## Jennifer Yoon Bio

I am a Data Scientist with an interest in statistics, natural and social sciences, and the financial industry. I have an MBA from the University of Chicago, Booth School of Business, and was certified as an FRM (Financial Risk Manager) by GARP (Global Association of Risk Professionals). I have a B.A. from Mount Holyoke College with a major in economics and minors in physics and music. I graduated with high honors in economics based on my research project & senior thesis, *Innovation in the Computer Industry: with Case Studies.*

### Language and Subject Tags:

- Python, Pandas, NumPy, MatplotLib, Jupyter NB, (SciPy, Scikit-Learn beginner); R, SQL, Excel-VBA, MATLAB
- Machine Learning, Bayesian Classifiers, k-Means Clustering, Decision Trees, Random Forests, Dimensionality Reduction
- Regression, Time-Series, ARIMA, GARCH, Instrumental Methods, dummy variables, factor analysis, principal component analysis (PCA)
- Monte Carlo method, numerical methods, linear algebra, discrete math, vector calculus, ordinary differential equations, partial differential equations, stochastic processes, stochastic calculus, extreme value theory, fitting to data non-normal probability density functions, skew (3rd moment), kurtosis (4th moment), and Ito's Lemma (often used in time-dependent stochastic calculus)

### Certificates:

- 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, 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)**finance and quantitative analysis: to be added****economics and accounting: to be added**