Peter Lung Email and Phone Number

Quantitative Analyst with strong leadership skills and 13+ years experience in data science using applied econometrics, machine learning and statistics to build mathematical solutions for various business problems. Proficiency in R, Python, Excel and other Microsoft Office applications.I have extensive experience using mathematical models to solve business problems. For the past 8 years I have been leading teams to build several projects that utilize statistics, machine learning, optimization and simulation approaches to forecast demand, optimize prices and quantify uncertainty in the price-aware forecast. My specific expertise is in causal inference and econometrics where I utilize careful analysis to estimate the effect of price on demand or other causal relationships.My data science teams have utilized R, including the tidyverse and caret packages and Python, including pandas, scikit learn and statsmodels, SQL and Snowflake. Optimization software that my teams have used includes pyopt and Gurobi. We have built supervised machine learning models for both regression and classification such as linear regression models, logistic regression, random forest, xgboost, decision trees and unsupervised machine learning methods such as principal components analysis (PCA). The collaboration and teamwork I have demonstrated on these projects has been successful in improving revenue generation in the millions of dollars.Once we construct these projects, we use effective communication skills to present results and output using data visualization software such as Tableau to display business intelligence insights in a cohesive way.