Data Scientist/Analyst

LUHONG PAN

Department of Computer Science, University of California, Davis

www.linkedin.com/in/panlh *********@*****.*** 530-***-**** M.S. in Computer Science, Statistics and Finance with strong analytical and programming skills, various professional and industry experience using Python, Spark and R to solve simulated and real-life challenges.

• Expertise in Python, R, Matlab and MS Office

• Experience with SQL, Spark, SPSS and Stata

• Data Science/Statistician Internship experience in industry

• Knowledgeable for statistics/machine learning model

• Courses successfully completed using both qualitative and quantitative research methods

• Fast and diligent learner; independent minded; and a leader who works well in a team

EDUCATION

M.S., Computer Science & M.S., Statistics (GPA 3.78), University of California, Davis Sep, 2014-Mar, 2017 M.A., Finance (GPA: 87/100), Lingnan (University) College, Sun Yat-Sen University, China Sep, 2011-Jun, 2013 B.E., Finance, & B.S., Mathematics (GPA: 87/100), Xiamen University, China Sep, 2007-Jul, 2011 PROFESSIONAL EXPERIENCE

Data Science Intern, Bio-Rad Laboratories, Hercules, CA Jun 2016-Aug 2016 Project: BioEd Product Halo Effect

• Applied Recommender System and uncovered latent feature space from transactional data using PySpark and SQL

• Estimated the conditional probability of continuing purchase behavior using Association Rules and Logistic Regression

• Developed statistical models to predicts the contribution an initial purchase has on subsequent purchases using Lasso Regression and Bayesian Model

• Visualized the models in dynamic graphs using JavaScript/HTML Consumer Product & Insights Statistician Intern, E. & J. Gallo Winery, Modesto, CA Jul 2015-Sep 2015 Project: On Premise Path to the Purchase of Wine and Spirit

• Completed descriptive statistics for on premise consumption segments and the key restaurants

• Identified differences and key influences across segments and restaurants using statistical methods such as Random Forest, Discriminant Analysis, and Elastic Net Model

• Uncovered the main reasons why consumers drinking wine at home using Texting Mining Project: Fining Trial of Free Run and Pressed Juice

• Modeled relationship among composition of fining cocktail, juice composition, and the final phenolic level and brown color in the finished juice using statistic models and diagnostic methods

• Build fining calculator for Pinot Grigio juice to improve efficiency in fining treatments Project: Stepstone Path to purchase

• Built profile tables for the combined Kaleidoscope and shopper profiles

• Identified differences across profiles using statistical methods such as Discriminant Analysis SKILLS

Python, Apache Spark, R, MATLAB, SQL, SPSS, STATA, Microsoft Office, Statistic Modeling, Machine Learning, JavaScript, C/C++, Econometrics, Financial Modeling PUBLICATIONS

Pan Luhong. “The Development of the Stock Index Future Hedging Theory and Research Methods: A Brief Review.” Fujian Finance, 2013(6): 61-64 (in Chinese)

Pan Luhong. “Wavelet Analysis into the Hedging Strategy of Stock Index Future Market.” Journal of Fujian Institute of Financial Administrators, 2013 (2): 16-22 (in Chinese)

Pan Luhong & Su Li-ping. “The U.S. Subprime Mortgage Crisis in the Revelation of Asset Securitization” Journal of Fujian Institute of Financial Administrators, 2010 (004): 15-17 (in Chinese)

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