Bio
I am a former course instructor at the University of Michigan who has taught over 150 students in Statistics and Data Science. I seek to promote scientific education and research on a greater scale.
All learners deserve to have access to the knowledge preserved by leaders and professionals. This is my temperament, and I strongly believe that my previous teaching and mentoring experience at a university level can help democratize such knowledge.
Education
• 2019 - 2021: MS in Data Science (University of Michigan)
• 2016 - 2019: BA in Actuarial Science and Economics (University of Connecticut)
My Proudest
Achievements
• My first proudest achievement is to be a reference for several of my students who are applying for universities, industry jobs, and graduate schools.
• My second proudest achievement is to serve both the roles of an educator and developer at an Education Technology company.
Subjects
- University Tutoring
Statistics
1st Year - Postgrad Univariate & Multivariate Inference, Analysis of Variance, Probability, Sampling Distributions, Simulations, Regression, Visualization, Bayesian Statistics, RAs a Graduate Student Instructor at the University of Michigan, I instructed over 150 students in 2 semesters. There I was responsible for leading weekly lab discussions and project presentations. Several students asked me to write them reference letters for admission in jobs and grad schools.
Machine Learning
1st Year - Postgrad Exploratory Data Analysis, Supervised & Unsupervised Learning, Cross Validation, Clustering, Univariate & Multivariate, Regression & Classification Problems, Python, RAs a Machine Learning Research Assistant at the University of Michigan, I was tasked to propose statistical learnings algorithms for predicting rare events such as a solar eclipse and a major insurance loss. I have presented these solutions to industry leaders, and even at high school talks.
Finance
1st Year - Postgrad Value Momentum Investing, Accounting, Business AnalyticsAs a Quantitative Financial Researcher, I am regularly trained to communicate high-level risk, business, and investing concepts to the client pool ranging from housewives to veterans. In the past, I have backtested the financial theories on behalf of personal and company accounts.
Economics
1st Year - Postgrad Econometrics, Micro and Macro-economic Theories, Empirical Studies, Money and Banking, Fiscal and Monetary Policies, History, Labor & Technology, Game TheoryI turned to specialize in Economic Education during my Master's study at the University of Michigan. There I mentored over 50 Economic students to conduct Quantitive Experiments and Academic Writing on topics such as Gross Domestic Product (GDP) and Game Theory.
Mathematics
1st Year - 2nd Year Multivariate & Vector Calculus, Linear Algebra, Discrete Mathematics, Set Theory, Probability, Combinatorics, Financial Mathematics, Mathematical Statistics, SAT/ACT Subject TestsI was an SAT/ACT Mathematics tutor for 11th-12th grade high school students during my undergraduate studies. After that, I started tutoring more advanced math topics such as calculus and probability to early undergraduates. Currently, I mentor math students in both coursework and research tracks.
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