Drive sales growth in several top-performing lotteries with revenue sharing agreements with a team of managers and analystsImplement a long-term revenue growth strategy for the Michigan Lottery resulting in 2015-2018 year-over-year industry leading sales growth by focusing on:• Product portfolio planning: design and maintain rolling 18-month product plan executing the concept of viewing lottery products as a portfolio of interacting components rather than independent products• Pricing: using price elasticity data, optimize effective price of lottery products by adjusting prize payouts making existing products more entertaining for players, while introducing additional higher price products aimed at more risk-accepting players seeking larger wins• Supply chain management: coordinate the product, sales and distribution teams to implement an integrated product distribution plan so monthly new product launches are distributed into >95% of the retailer network within 3 days and guaranteeing that top performing products are well-penetrated in the market for as long as possible, as dictated by the ideal product portfolioCreate product strategy of IGT affiliate privately managing the New Jersey lottery, driving profit growth and increased margins, achieving contractual targets, and generating annual incentives paymentsRepresent revenue growth optimization and marketing analytics group on cross-functional innovation team to transform IGT from a technology provider to a growth partner by evolving IGT technology offer around customer/player/retailer needsOptimize and implement product-specific forecasting methodologiesOversee marketing reporting functions including automating report creation and improving reports to make them more informative and useful to primary recipientsBuild collaborative, trusting relationships between my team, the executive group and my customers that facilitate achieving consensus about and implementing optimal strategies for growth

Lead modeler developing predictive criteria and forecasting tool to be used by senior decision makers within the Department of DefenseManaged and oversaw team of modelers in completing project to corporate standardsDrafted proposals to secure funding; managed production of data sets used in statistical models; completed risk assessments; developed and implemented innovative modeling strategies; oversaw integration of data and models into viewer; coordinated writing of final reportDeveloped statistical forecasting models and created a machine-learning algorithm used to generate new data for the World Integrated Crisis Early Warning System, a Department of Defense program of record, which was briefed to the President of the United States to inform decision making on national security mattersCollaborated with contractors on a wide range of management issues focused on designing and implementing test strategies, test procedures, and final reportsContributed methodological and substantive expertise in writing several successful contract proposalsWorked within a collaborative team environment, leveraged experience and knowhow to effectively accomplish team goals and deadlinesPrimary tools used: R (advanced), Stata (intermediate), Microsoft Office (advanced), SPSS (intermediate), SQL (beginner), Amazon Web Services EC2 & S3 (beginner)

Used advanced statistical modeling techniques -- binomial probit, ordered logistic, and tobit regression models -- to identify hypothesized relationshipsEnhanced presentation of data and results with unique visualizations

Solely responsible for designing and delivering course to studentsPrepared and delivered course lectures, wrote and administered assignments and exams, and met with students to discuss course material and results of assignments and exams

Delivered course lectures, facilitated in-class simulations, graded assignments, met with students about course materials and results of assignments and examsAssisted on research projects that resulted in the publication of three journal articles and a book by writing literature reviews, conducting qualitative research for case studies, collecting and managing quantitative data and designing and performing statistical analyses

Facilitated peer-review process by maintaining communication with the authors, reviewers and the editorReceived new transcripts, logged them into the database system, identified potential reviewers, sent review requests and sent decision notices

Assisted to develop automated event data generation tools for the project that served as the base data and springboard for ICEWS (mentioned above)Wrote papers for presentation at research seminars, including the Center for Undergraduate Research Opportunities (CURO) Symposium.