Data Scientist Machine Learning statistical programming

KAIHONG XU

Carlisle, Massachusetts; ********@*****.***; 919-***-**** (cell)

HIGHLIGHT:

• Having Over 20 years of professional experiences in leveraging advanced analytical skills, data skills, and software programming skills to help industrials including Biotech, Pharma, Health Care, and software, etc.

• Proficiency in SAS (Base, Macro, Stat, Graph, OR, etc.), Python, SQL and R.

• Strong advanced analytical background with a PhD in Applied Mathematics. INDUSTRIAL EXPERIENCE:

Data Scientist 09/2020-06/2021

Rose International Inc. with CVS Inc. client at Retail Customer and Marketing Analytics Division

• Evaluated and measured marketing efficiency using machine learning techniques, propensity score matching and selection, post period lift measurement by coding in Python, SAS and SQL.

• Provided data query and analysis for enrollment tracking and trending, marketing campaign, advertising, marketing research, store brand analysis, data survey, front store sales, and ad hoc analysis using SQL, SAS, Excel and Python.

Consultant 02/2020-03/2020

Dynasil Inc. client

• Provided data reporting and analysis to support clients’ product marketing activities and eCommerce marketing.

SAS Consultant 01/2020-02/2020

BioPier Inc. client

• Wrote SAS programs to create clinical trial data sets. Senior Software Engineer 09/2013-11/2018

Siemens Healthineers, Inc. Data Management group and Biostatistics group

• Developed SAS programs to extract the data from multiple databases, managed and transformed the data to generate the meaningful information, and incrementally delivered the data to the designated database efficiently (reducing the data loading time from hours to seconds).

• Worked with the cross-functional team to develop Statistic Process Control Excellence Application System that could be used to ensure product quality.

• Wrote SAS programs (SAS/Macros, SAS/STAT, SAS/GRAPH) to conduct statistical programming for biostatistics methods and generated the web tools to facilitate the business intelligent functionality for business users.

• Utilized SAS software for data visualization, statistical analysis and data reporting in various projects. Full member of Applications Staff 06/2000-02/2013

SAS Institute Inc. Advanced Analytics Division

• Participated in the development of SAS Operations Research (SAS/OR) products including linear program, mixed-linear program procedures, API (Application Programming Interface) functions and validated high performance analytical procedures (for big data); Developed API (Application Programming Interface) function to automatic repair infeasible optimization model.

• Prototyped SAS Price Optimization Solution for retail industry by using mathematical model and dynamic programming (SAS program and macros) to specify the price strategy dynamically for the clearance items based on price-elasticity and business constraints.

• Developed SAS Supply Chain products by designing analytical data models and data warehousing for purchasing activities, mathematical models and algorithms for inventory management and strategic sourcing, and analyzed and monitored supply chain metrics performance. ACADEMIC EXPERIENCE:

Research Consultant 10/1999-05/2000

Kenan-Flagler Business School, University of North Carolina at Chapel Hill

• Conducted research on novel logistic trends including real-time logistics and e-business logistics.

• Worked on a multi-echelon inventory optimization model and implemented it in C codes to evaluate benefits of centralized system (risk pooling) versus decentralized system for a big firm. Presented the work to the firm. The work received the funding from the firm. Researcher 9/1996-10/1999

Department of Industrial Engineering, Texas A&M University

• Designed a stochastic dynamic programming model for “High-Technology Product Development” project funded by Texas Advanced Technology to determine the timing of product upgrades, product price, and production level so as to maintain product competitiveness and improve profit margins. This work was published in European Journal of Operational Research, 2002. Post-doctoral 8/1994-8/1996

Dept. of Mathematics, Swiss Federal Institute of Technology, Lausanne, Switzerland

• Analyzed algorithm complexity of a preemptive open shop scheduling problem by applying node-coloring methodology in graph theory and classified some specific cases that could be solved in reasonable time. SELECTED PUBLICATION

• European Journal of Operational Research, 138 (2002) “Prescribing Product Upgrades, Prices, and Production Levels over time in a Stochastic Environment”.

• Journal of Algorithm, 37 (2000) “The Asymptotic Worst-Case Behavior of the FFD Heuristic for Small Items”. CONFERENCE/AWARD

• Attended Professional Conferences Including:

• SAS Global Forum;

• BIG DATA Conference;

• INFORMS in Operations Research and Management Science;

• Boston SAS Users Meetings.

• ODSC Open Data Science Conference

• Awarded Fellowship for Young Scientist, ICSC-World Laboratory. COMPUTER LANGUAGES

• SAS, Python, SQL, R, C, MS Office

EDUCATION

• Post-doctoral in Discrete Mathematics

Dept. of Mathematics, Swiss Federal Institute of Technology, Lausanne, Switzerland (1994-1996)

• Ph.D. in Applied Mathematics specializing in combinatorial optimization algorithm. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China (1991-1994)

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