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Timeline
About me
Experimentation Platform Building | Causal Inference | Data Science | Advanced Analytics
Education

Heriot-watt university
2011 - 2013Bachelor of science - bs actuarial science first
Ucla anderson school of management
2017 - 2018Master's degree financial engineeringData & Quantitative Relevant Coursework: • A/B Testing• Machine Learning: Logistic Regression, Random Forest, XGBoost, Clustering Analysis, kNN, NLP, Sentiment Analysis• Time Series: ARMA, ARIMA, GARCH, ARCH• Statistical Modeling• Advanced Stochastic Calculus• Python, R, SQL

Imperial college london
2013 - 2014Master of science - ms statisticsCapstone - Bayesian Time Series Prediction - ‘R, Excel and SQL’ :• Developed Bayesian time series model to predict UK domestic electricity demand in 1-minute resolution.• Applied Markov Chain to simulating demand with seasonality and trend based on electrical appliances usage, consumptions and individual domestic activities, solving limited availability of data and parameters.• Generated transparent and visual demands by housing types, weekday/weekend or geographic… Show more Capstone - Bayesian Time Series Prediction - ‘R, Excel and SQL’ :• Developed Bayesian time series model to predict UK domestic electricity demand in 1-minute resolution.• Applied Markov Chain to simulating demand with seasonality and trend based on electrical appliances usage, consumptions and individual domestic activities, solving limited availability of data and parameters.• Generated transparent and visual demands by housing types, weekday/weekend or geographic distributions.Relevant Coursework: • Statistical Models• Computational Statistics• Applied Statistics• Bayesian Statistics• Fundamentals of Statistical Inference• Statistics in Retail Finance Show less

Southwestern university of finance and economics
2009 - 2011Bachelor of science - bs actuarial science
Experience

Zhonghai investment management
Jan 2015 - Jan 2017Data scientistAnalytics, predictive model and NLP for finance market:• Achieved 8% annualized return by developing predictive model for trading strategies• Predicted returns by logistic and linear regressions on stock and firm-level features byPython and SQL; implemented model with manager and trading team • Created and maintained daily and monthly dashboards, demonstrating analysis report to help portfolio manager and trading team make well-informed rebalancing decisions• Estimated stock market reaction to 100,000+ financial news article by NLP (LDA, k-means, Python) Show less

Universa investments l.p.
Jan 2018 - Jan 2018Quantitative summer analystMachine Learning Regression, Visualization: • Developed a ML model to identify stock markets opportunity based on firm-level data• Identified important features from financial report and forecasted stock returns by logistic and linear regressions using Python• Provided quantitative recommendations to portfolio manager with visualizations and key metrics

Peoplefun
Jan 2019 - Jan 2022Data scientistProduct growth, statistical inference and data science for top-rated casual mobile game!

Omnimarkets, llc
Jan 2019 - Jan 2019Data scientistPrediction Model, Risk, Hive:• Designed calculation process to predict risk for clients transaction data• Estimated initial margin (transaction deposit) by regressions model and slicing analysis by Python and SQL• Verified process to manager and engineers by scenario and stress testing on 10GB data
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Amazon web services (aws)
Jan 2022 - nowSr. bi engineer
Licenses & Certifications

Data analysis and visualization
Udemy
Python for data science and machine learning bootcamp
Udemy
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