Proven success in applying advanced knowledge and analytical techniques in the areas of statistics and mathematical optimization to reveal insightful solutions to business problems from various industries. Substantial hands-on experience in building statistical/optimization models and developing ad hoc algorithms for the solutions of these models. Expert in SAS (SAS programming level 1 and 2 certified) and extensive experience with C/C++(8 yeras) and C#(3 years). Specialties include: Marketing Mix Modeling ROI Analysis and Optimization Price and Promotion Analysis Product Line Selection Catalog and Brochure Optimization Portfolio Optimization Revenue Management Support Vector Machine Clustering Analysis Mixed-integer Optimization Quadratic Programming Nonlinear Programming Complementarity problems Optimization Software

Data Scientist @ Lattice delivers data-driven business applications that help companies of all sizes market and sell more intelligently. Inspired by today’s consumer applications, we bring every relevant buying signal into the world’s most comprehensive, cloud-based applications. With Lattice, companies stop guessing and start relying on data science that anyone can use to find, prioritize and close their next customer. Our rapidly growing customer base, including Dell, SunTrust and VMware, use our open and secure applications to generate 75 percent more pipeline, triple conversion rates, and double win rates. We are privately held and backed by Sequoia Capital and NEA with headquarters in San Mateo, CA. Learn more at www.lattice-engines.com and follow @Lattice_Engines. From April 2015 to Present (9 months) San Francisco Bay AreaConsultant @ • Performed marketing mix modeling and ROI analysis to quantitatively estimate the effectiveness of various marketing elements. • Developed the nonlinear regression response model to forecast sales of varying marketing spending portfolios. • Built the regression model to estimate the cannibalization and halo impact between products. • Presented the data driven business decisions and provided actionable insights and recommendations to the client. From December 2011 to Present (4 years 1 month) Optimization Specialist @ • Built wide ranging, customizable optimization models and developed ad hoc algorithms to provide solutions for the following business problems: Identification of optimal marketing spending allocations among media channels to maximize ROI’s Allocation of catalog and brochure pages among merchandise departments and product categories to maximize projected sales Optimization of product line size that meets the client’s request on market share Retention and deletion of products based on estimates of core and transferable customer demand • Developed a dashboard in Excel using VSTO for the client to perform independent ‘what-if’ analysis • Studied latest research publications to identify the opportunities to improve existing models and algorithms. From January 2010 to December 2011 (2 years) Merchandising Analyst @ • Constructed statistical model to analyze the impact of price changes on sales, and advised the retail managers on optimal pricing strategies accordingly. • Performed product assortment analysis to assist decisions on product retention or deletion. • Developed tool in Excel for the senior category managers to conduct product line selection. • Worked closely with retail managers and recommended optimal inventory planning for over 4000 stores. From August 2009 to January 2010 (6 months) Research Analyst @ * Studied Linear Programs with linear Complementarity Constraints (LPCC) arising from bilevel programming, inverse optimization and portfolio optimization problems. * Solely responsible for designing the algorithm and implementing the methodologies in MATLAB and in C. * Applied the algorithm for resolving nonconvex quadratic programs. From May 2006 to July 2009 (3 years 3 months) Research Analyst @ *Conducted research on cross-validated Support Vector Regression problems by formulating them as bilevel optimization problems. *Implemented the bilevel problems using AMPL and performed regression analysis on large data sets from drug design experiments. From May 2005 to May 2006 (1 year 1 month) Research Analyst @ *Led a project to perform bipartition-clustering analysis by solving it as a semi-definite program. *Designed the numerical scheme in C for computational implementation. From August 2005 to December 2005 (5 months) Teaching Assistant @ Reviewed the lectures given by the instructor and led a discussion with the students. From January 2004 to May 2005 (1 year 5 months)

PhD, Mathematical Sciences @ Rensselaer Polytechnic Institute From 2004 to 2009 BS, Electrical Engineering @ Beijing University of Post and Telecommunications From 1999 to 2003 Jing Hu is skilled in: C++, C, Data Mining, Optimization, Algorithms, Matlab, Analysis, Programming, Statistical Modeling, C#, Operations Research, SQL, Data Analysis, Statistics, Databases, Software Development, Numerical Analysis, VBA