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Statistical Analytics, ETL, PCA, Clustering, Predictive Models

Minneapolis, Minnesota, United States
March 22, 2019

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Adam Hengzhen Chang

+1-612-***-**** Minneapolis, MN 55454


Data professional with 3+ years of consultant experience. Proficient knowledge in programming (Python, R, & SQL), data mining, machine learning, data visualization and statistical modeling to deliver insights and actionable recommendations for complex business problems. Skilled at communicating and presenting to non-technical stakeholders. EDUCATION

University of Minnesota – Minneapolis, MN

Master of Science in Business Analytics May 2019

Beijing Foreign Studies University – Beijing, China Bachelor of Management in Business Administration July 2015 SKILLS

• Tools: SQL, MS Excel, Python, R, Hadoop, Hive, Pig, AWS, Tableau, Power BI, Spark

• Techniques: Statistical Analytics, ETL, Regression, PCA, Clustering, Predictive Modeling (Linear Regression, Logistic Regression, Decision Tree, KNN, SVM, Naïve Bayes, Random Forest, XGBoost, Stacking), Time Series, Visualization EXPERIENCE

Data Analytics Product Owner

Carlson Analytics Lab – Minneapolis, MN Jun 2018 – Present Client: Globally Leading Apparel Manufacturer (Ongoing)

• Led a team of 5 to develop 6 advanced machine learning models (Naïve Bayes, XGBoost, Random Forest etc.) in Python that reduced the demand forecasting error by 45% for overseas B2B market

• Conducted regression analyses of the relationship between B2B sales and 20+ Oil & Gas industrial indexes, achieving a 15% more accurate forecasting of demand volume than baseline model

• Applied Agile methodology to project process by team coaching, monitoring progress and facilitating adaptations Client: Leading Hospitality and Entertainment Business

• Analyzed 5.5 million data points to identify customer’s gaming and reservation patterns in Python and Tableau, enabling a forecasted increase in revenue from VIP players by 25% and enhancing overall customer experience

• Built static and dynamic predictive models using machine learning algorithms in Python to predict hotel occupancy for hotel business unit and achieved an estimated 8.4% increase in revenue

• Presented findings and insights to executives, helped design better strategies for customer loyalty campaigns Consultant, Project Manager

Forrester (Consulting) Inc. – Beijing, China & Hong Kong Aug 2017 – May 2018 Client: PayPal

• Conducted ETL on data from multiple sources using SQL to compare online payment platform growth rates globally, which helped PayPal to identify strategy partners that drove growth in market share by 6%

• Utilized Anomaly and Outlier Detection methods in R to design fraud detection strategies for cross-border eCommerce transactions for Asia market, which helped to reduce the fraud loss by 200K USD in the following quarter Client: Facebook

• As the project manager, partnered with Facebook’s SME (Small Medium Enterprises) product team to identify 10+ key growth metrics in the international eCommerce market for Facebook’s B2B business partners

• Identified competitive landscape of global cross-border eCommerce and consumer insights by processing 10K + consumer survey data in Python

• Presented findings and insights to executives, both technical and non-technical audience from client side Consultant

Protiviti (Consulting) Inc. – Beijing, China May 2015 – May 2017 Client: Leading New Media Company in Asia

• Managed a cross-functional team of 12 to identify issues in client’s current content procurement procedures by processing online traffic data in Hive and R

• Designed supplier valuation model using predictive analytics algorithms, helping client reduce 1 million USD procurement cost in the following year

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