Nathan Huang
Los Angeles, CA ***** 434-***-**** adfyba@r.postjobfree.com
EDUCATION
University of Virginia Charlottesville, VA
• Master of Science: Statistics Sep 2017 - May 2019 Core Courses: Experimental Design, Data mining, Machine Learning, Statistical Consulting and Statistics Inference City University of Hong Kong Hong Kong, China
• Bachelor of Science: Computing Mathematics; Minor: Finance &Accounting Sep 2012 - May 2017
• Exchange Program at Acadia University, Canada Sep 2014 - Dec 2014 WORK EXPERIENCE
Global Security Solutions Los Angeles, CA
Data Analyst Jun 2020 - Present
• Communicated with stakeholders on how to design price strategy based on supply and demand
• Collaborated with cross-functional teams like engineering and finance teams and made business hypotheses
• Pulled data from multiple sources and performed the ETL process and EDA in SQL and Python
• Developed forecasting model (Random Forest, Regression) to predict inventory and demand in Python
• Presented business insights to stakeholders, improved NPS by estimated 80%, and revenue by estimated 20% Rang Technologies Piscataway, NJ
Data Analyst Aug 2019 – Jun 2020
• Generated business problems from stakeholders like the decrease on Airbnb booking revenue
• Developed predictive model using Python to predict price based on different property types and neighborhoods
• Designed KPIs and metrics like revenue by country, NPS (net promoter score) and average booking price and create dashboard in Tableau
• Presented insights behind data and helped company to save estimated monthly loss of $2.6M and increase estimated booking rate by 58%
Global AI New York, NY
Data Scientist Intern Oct 2018 - Nov 2018
• Consulted with Yelp clients and provided business recommendations to maximize their revenue.
• Leveraged and interpreted large datasets in SQL to support ad-hoc requests and performed analysis using Python and R to uncover key insights about customer review data
• Manipulated data, performed EDA and developed a time series model on customer review history using Python
• Provided visualizations and recommendations on next steps to business clients and helped them increase average monthly revenue by 18%
Ogilvy Shanghai, China
Data Analytics Intern Jun 2018 - Sep 2018
• Improved marketing campaign performance by analyzing traffic data from 5M customers
• Created automatic dashboard to track CLV, click-through rate by different marketing channels in Tableau
• Developed statistical model (regression) to predict sales, clicks, impressions in Python and designed A/B test to evaluate new features and web layout on HTML campaign pages to improve conversion rate
• Optimized marketing strategies by building k-means clustering to create marketing persona and customer segmentation on new users, retention users and churned users
• Provided business insights and recommendations behind data and increase conversation rate by 30% for our clients PROJECTS EXPERIENCE
Instacart Shopper Behaviour Analysis Spring 2019
• Implemented solutions on inventory and recommendation systems by analyzing customer shopping history
• Designed key metrics like daily purchases volume, purchase frequency, number of reorders by-products
• Leveraged and implemented large data set in Hive, performed the ETL process, and analyzed data utilizing SQL
• Visualized data in Tableau to track customer reorder rate, average order value, and transaction growth rate
• Conducted experiments like A/B testing to evaluate new feature in the recommendation system
• Presented the descriptive statistics, methodologies, and findings to stakeholders and translated insights to non-tech people, resulting in a lift in average order value by estimated 26% SKILLS
• Technical Skills: SQL/NoSQL, Tableau, Python (Matplotlib, Pandas, Numpy, Scikit-Learn), R, SAS, Microsoft EXCEL
(Pivot Table, VLOOKUP), PowerBI
• Statistical Skills: Logistic Regression, Cross-Validation, K-Nearest Neighbors, Decision Tree, Random Forest, Neural Network, K-means Clustering, Dimensionality reduction