Zongyang Jiao, CFA, FRM

Invest with data and learn everything! Experience: Programming Language: Python, Spark, R, Scala, Java Fundamental Investing • Equity Valuation: Absolute (FCFE, FCFF & Residual Income) and Comparative Valuation (P/E, P/S, EV/EBITDA) • Industry Research: Development history, Government Policy, Industry Value Chain, Segmented Market Size, Technology Trend • Financial Modeling: Revenue Forecast, Capital Budgeting, Cost Mark-up Pricing, Scenario Analysis, Sensitivity Analysis Quantitative Investing • Mean-Variance Optimization & Black-Litterman Model • Constant Proportion Portfolio Investment • Risk Parity • Factor Investing • Style Analysis Alternative Data Analysis: • Uber Data • Twitter/News • Yelp Data Data Analysis & Business Intelligence: • Data Visualization and Manipulation: Python (numpy, pandas, plotly), R (tidyverse, datatable) • Dashboard: Power BI, Tableau • Database: SQL, MongoDB, Neo4j Data Science • Survival Analysis • Credit Card Transaction Fraud Prediction • Customer Churn Prediction • Customer Clustering • Unsupervised Fraud Detection (Autoencoder) • Loan Bid Win Probability Prediction • Customer Value Analysis • Customer Engagement Score Natural Language Processing • Sentiment Analysis (Logistic Regression & Naïve Bayes) • Part-of-speech Tagging (Hidden Markov Model) • N-grams Language Model • Word Embeddings (CBOW) Recommendation System • Content-based Recommender: Clothing Match Recommendation • Collaborative Filtering: Retail Product Category Recommendation To be continued...