I am not your typical data person.I am a former pre-med student who studied the most powerful computing system in the entire world: the human brain. I eventually found my passion for data through an internship project, in which I used medical data to build predictive models that diagnosed diabetic retinopathy.As a Data Analyst at Fullscreen, I fulfilled cross-functional data requests from different teams and departments. I frequently used cutting-edge analytics techniques to transform complex data into business insights and strategies that delivered revenue growth for clients.Currently, I am a candidate in the M.S. in Business Analytics at the University of Southern California (USC)’s Marshall School of Business, seeking opportunities to work with data to deliver impact and help business make the best decisions through my analytical and machine learning skills as well as data storytelling skills. Skills and Interests:■ Programming: SQL, Python (Pandas, NumPy, Matplotlib, Scikit-Learn), R (dplyr, ggplot2, forecast, R Shiny), MATLAB, NoSQL■ Business Intelligence Tools: Tableau, PowerBI, Excel■ Modeling: Supervised Learning (linear & logistic regression, SVM, KNN, naïve Bayes, decision trees, random forest), Unsupervised Learning (k-means clustering, PCA), Deep Learning (RNN, CNN), Time Series Forecasting & Modeling ■ Analytics Specialization: A/B Testing, Experimentation, Data Viz, Dashboarding, NLP, Statistical Hypothesis Testing, Customer Analysis, Marketing Analytics, Product Analytics■ Soft Skills: Communication, Data Storytelling, Problem Framing & Solving, Teamwork■ Interests: Fashion, Yoga, Baking, GamingGithub Link: https://github.com/mnghsnchn