Machine Learning Data Analysis

Karry Wang

+1-201-***-**** ******@********.*** http://www.linkedin.com/in/jiaruikarrywang

EDUCATION

Columbia University, Fu Foundation School of Engineering and Applied Science New York, NY Master of Science in Operations Research Expected Dec 2024 l Courses: Statistics and Probability, Machine Learning, Deep Learning, Data Analysis, Stochastic Process, Optimization, Simulation Mount Holyoke College South Hadley, MA

Bachelor of Arts in Mathematics and Economics Sep 2019 - Dec 2022 l Courses: Linear Algebra, Calculus, PDE, Discrete Math, Data Structure and Algorithm, Abstract Algebra l Awards: Class of 1937 Prize in Math, Mildred L Sanderson Prize in Math, Jennifer Dawn Landry’93 Memorial Award SKILLS & INTERESTS

l Programming Skills: Python (NumPy, Pandas, Matplotlib, Scipy, Sklearn, TensorFlow, Gurobi, OpenCV, Mahotas), Java, JavaScript, R, Matlab SQL

l Other Tools: STATA, Power BI, Tableau, LaTeX, Excel, Word l Analytics Skills: Machine Learning, Deep learning, A/B Testing, NLP, Exploratory Data Analysis. Clustering, Time Series PROFESSIONAL EXPERIENCES

Zenith Investment Quant Research Intern May 2024 - Present Shanghai, CN l Cleaned and preprocessed data using Yahoo Finance and internal databases including PMI (macro factor), M2 (liquidity factor), PPI

(inflation factor) as prediction value and equity (CSI300, sector indices), debt, and commodity as features. l Implemented Lasso, ARIMA, XGBoost, SVR Regression, to predict three factors above with rolling forecast at different lag values l Selected the best model Lasso with RMSE of 7% relative to the mean value of the prediction target; Applied historical data backtesting and visualization charts achieving an annualized return of 14% Lions Assurance Financial Risk Management Intern Sep 2023 - Nov 2023 New York, NY l Performed an in-depth quantitative analysis on a cannabis company via SQL and Python; Created a dashboard with Tableau to feature metrics on risk management, acquisition evaluations, and stock index performance. Identified emerging market trends based on quantitative insights

l Utilized Python to implement comprehensive financial models, including a Discounted Cash Flow (DCF) model, Break Even Analysis, and Capital Structure analysis tailored specifically for the Cannabis company Lianlian Global Business Analytics Intern, International Logistics Group May 2021 - Aug 2021 Hangzhou, CN l Conducted A/B testing to evaluate the effectiveness of different pricing and discount strategies with SQL and Python; Generated daily Tableau reports

l Managed and analyzed customer behavior data weekly with Python; conducted data analysis on buyer preferences, and generated insights that guided the development of targeted selling strategies l Developed and tested 2+ new data-driven selling strategies using Python, leading to a 20% increase in potential buyers LEADERSHIP & PROJECT EXPERIENCES

JPM & AI Center Research on Predicting House Price Index Dynamics Researcher Sep 2023 - Dec 2023 New York, NY l Collected and cleaned data from the Federal Reserve Economic Data (FRED) API; Applied House Price Index (HPI) in 4 cities (Dallas, Denver, Miami, and San Diego) as predicted value and 4 features (Credit, Mortgage, Housing Affordability Index, Household Income) l Developed and refined both GRU and LSTM models to predict House Price Index (HPI) via tensorflow. l Implemented data preprocessing techniques, including smoothing, differentiation, and derivative approximation, to optimize model input above

l Presented and summarized model performance with 46% accuracy and 10% relative improvement of the original OLS regression prediction

Image Processing for Spatial Mosquito Flight Researcher May 2022 - Jul 2022 South Hadley, MA l Developed a Python computer vision library program for digital image processing to detect information on map and convert the information into dataset as a set of coordinates

l Implemented and predicted image with Laplacian, Gaussian, CNN, and Sobel, achieving 90% accuracy in target detection

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