Sr Data Scientist
October 2015 to November 2017
Portland, Oregon Area
Director of Advanced Analytics, Market Sensing & Forecasting
Beaverton, OR, USA
Lead Solution Engineer / Data Scientist
June 2013 to September 2015
University of Wisconsin
Director of the Transportation and Urban Systems Analysis Laboratory
January 2006 to August 2011
University of Wisonsin
January 2006 to August 2011
The University of Texas at Austin
Postdoctoral Research Fellow
January 2005 to December 2005
The University of Texas at Austin
Graduate Research Assistant
September 2000 to December 2004
Commonwealth Scientific and Industrial Research Organization of Australia (CSIRO)
May 1997 to May 2000
• Drove the creation of new analytics capabilities using R/Python/Tableau for consumer willingness-to-pay estimation, product cannibalization diagnosis, product life cycle analysis and consumer response prediction. • Contributed to the strategic planning and enhancement of the organization’s analytics platform, including POS data quality assessment and solutioning, POC of new technologies, translating user asks to applications/GUI design, and specification... • Drove the creation of new analytics capabilities using R/Python/Tableau for consumer willingness-to-pay estimation, product cannibalization diagnosis, product life cycle analysis and consumer response prediction. • Contributed to the strategic planning and enhancement of the organization’s analytics platform, including POS data quality assessment and solutioning, POC of new technologies, translating user asks to applications/GUI design, and specification of software/technology requirements of large scale analytics applications.
What company does Jessica Guo work for?
Jessica Guo works for Nike
What is Jessica Guo's role at Nike?
Jessica Guo is Sr Data Scientist
What industry does Jessica Guo work in?
Jessica Guo works in the Sporting Goods industry.
Sr Data Scientist @ Nike • Drove the creation of new analytics capabilities using R/Python/Tableau for consumer willingness-to-pay estimation, product cannibalization diagnosis, product life cycle analysis and consumer response prediction. • Contributed to the strategic planning and enhancement of the organization’s analytics platform, including POS data quality assessment and solutioning, POC of new technologies, translating user asks to applications/GUI design, and specification of software/technology requirements of large scale analytics applications. From October 2015 to November 2017 (2 years 2 months) Portland, Oregon AreaDirector of Advanced Analytics, Market Sensing & Forecasting @ Nike • Create practical analytic roadmap and build a portfolio of forecasting initiatives to support demand planning, assortment planning and inventory/pricing optimization. Collaborate with a broad range of stakeholder teams to understand business needs and translate to forecast requirements. • Guide the design and development of scalable demand sensing solutions – incorporating exploratory data analysis, statistical tests, time series and machine learning algorithms, SAS/Python based models, accuracy measurement metrics and visualization tools. Continuingly identify improvement opportunities inclusive of new IT tools and data science methods to monitor and predict consumer demand.• Build, manage and mentor cross-functional agile squads consisting of data scientists, analysts and engineers. As product owner and product director, prioritize backlogs and anticipate and proactively work on solutions to address potential risks/constraints. Beaverton, OR, USALead Solution Engineer / Data Scientist @ Parsons Brinckerhoff • Formulate appropriate econometric analysis framework and simulation setups for assessing consumer behavior and market-based strategies concerning new technologies and policies. • Manage a geographically distributed team of analysts and developers through the agile development of a globally deployed software system for simulating human activity choices and time use. Oversaw customized implementations and QA/QC for multiple accounts. Profiled the run time performance and system memory usage. Reverse engineered legacy systems to identify computational bottlenecks and maintainability constraints. Re-engineered object-oriented design to improve software reusability and extensibility. • Spearhead the conceptualization and design of a configurable and scalable software solution to support the business of travel demand forecasting. Translate requirements into a layered architecture for maximum reusability and maintainability. Evaluate technology options for programing language, database management, distributed computation, and reporting/visualization. From June 2013 to September 2015 (2 years 4 months) Portland, OregonDirector of the Transportation and Urban Systems Analysis Laboratory @ University of Wisconsin • Founded and directed the TUSA Research Laboratory. Procured and administered over one million dollars in grants and contracts for research. Managed all phases of funded projects. Engaged stakeholders in public and private sectors to establish collaboration and funding opportunities.• Combined behavioral research methods and advanced analytics to inform infrastructure planning and business decisions in the following areas: electrical grid planning to support new automobile technology (plug-in vehicles); pricing and marketing strategies for car sharing services; return-on-investment (ROI) analysis for alternative transit pricing and service frequency scenarios; ROI analysis for pedestrian and bicycle facility planning; incident management and emergency evacuation planning.• Designed novel computational algorithms and developed scientific and industrial applications, including the Near Earth Object Mitigation Support System to estimate global human vulnerability and simulate evacuation plans; Population Synthesizer to create data for population-based simulation; Healthful Infrastructure Planning Tool to support the cost-benefit analysis of health-promotive built environment changes. From January 2006 to August 2011 (5 years 8 months) Madison, WisconsinAssistant Professor @ University of Wisonsin • Authored/co-authored 15 peer-reviewed academic journal articles and 20+ published reports; delivered 50+ presentations at national and international seminars and conferences• Taught courses on Behavior Analysis and Choice Modeling, Transportation Demand Forecasting, Spatial Analysis and GIS, Transportation Engineering From January 2006 to August 2011 (5 years 8 months) Postdoctoral Research Fellow @ The University of Texas at Austin • Designed a novel mathematical programming algorithm and led its implementation into a software product for generating synthetic population utilizing C++, .NET and PostgreSQL. Analyzed data requirements, defined data structures, designed test cases, and conducted quality control of final product. • Managed multiple research projects (proposal preparation, project reporting and personnel supervision). From January 2005 to December 2005 (1 year) Austin, TexasGraduate Research Assistant @ The University of Texas at Austin • Led the software development of CEMDAP – one of the first operational activity-based travel demand modeling systems. Responsibilities included: defining data/technical requirements; developing data models; designing a modular and expandable system architecture based on the object-oriented paradigm; introducing multithreading, caching, and ODBC concepts into the computational algorithm; managing and participating in the code development, testing, and trouble shooting. • Assembled and processed data, conducted exploratory analysis, generated informative maps, calibrated statistical and econometric models, interpreted empirical results, applied predictive models, and produced final policy recommendations for multiple research efforts. From September 2000 to December 2004 (4 years 4 months) Austin, TexasExperimental Scientist @ Commonwealth Scientific and Industrial Research Organization of Australia (CSIRO) • Applied GIS, statistical analysis, meta-heuristic optimization algorithms (simulated annealing, neural network, and ant colony optimization), and proprietary optimization software (CPLEX) to address engineering problems.• Played a key role in the software development of CellSim (a simulation platform for cellular network design). Responsible for technology re-engineering of TOPAZ (a land use modeling software) and conversion of legacy Fortran source code to C++.• Developed methods for estimating day time population distribution using household travel survey data. From May 1997 to May 2000 (3 years 1 month) Melboune, Australia
Introversion (I), Intuition (N), Thinking (T), Judging (J)
3 year(s), 5 month(s)
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