Jonathan Gragg, Ms-Acms Email & Phone Number

Atlanta, Ga, Us

New York, Ny, Us

Leading analytics for FanDuel across all verticals (CRM, Brand and Marketing, VIP, Commercial) for our two main products; Online sportsbook and online casino. Focused on growing overall market share and responsible gambling

New York, Ny, Us

Managed team of analysts focused on optimizing CRM promotions, Improving Customer Acquisition Methods, Increasing Gross Gaming Revenue ResponsibiltyDesigining data science models to predict customers likelihood of ChurnUtilizing timeseries modeling in python to forecast daily actives and new customer acquisitionsDesigning implementing and testing promotional test for statistical significance to derive conclusive results that lead to impactful business decisionsOver seeing advanced analytics processes for Daily Fantasy Sports, Fanduel Faceoff App, and Free to Play productsManaging data pipelines for stakeholders to constantly have self serve key insights any one in the business can access.Creating and scheduling advanced metric creations in databricksCreating KPI’s to better help stakeholders understand the impacts of business decisionsDesigning advanced tableau dashboards

New York, Ny, Us

Product Owner for all front end products at MSCI Real Estate. Managed large scale projects to improve processes for SaaS subscription service for high level investors in the commercial real estate industry

New York, Ny, Us

Management of all Business Intelligence platforms including database design for logging events, data lake storage, data wrangling, data visualization, overall process from click to visualizations for stakeholdersDesigned a way to track IP sharing – Used R scripts to geo-locate individuals and then compared that to the number of recorder IP addresses.Created a notification process to let CSM/Sales team notified when clients clicked outside of their subscriptionManagement of New Product Development TeamDesigned fuzzy logic searching for website to make the interface more friendly with usersInitial work was done in numpy package in Python – operationalized using elastic searchDesigned ways to notify relevant activity to our clients on specific buildings they are interested in trackingManaged team of 6 engineers and two analystsDeveloped a process using a github repository to store audit queries/business logic to help QA engineers automate data validation across the whole website in a few hours.Focus on new financial products on the loans retired outstanding or in distress within the Commercial Real Estate industryDesigning and implementing data audit process for the test and live websiteDesigning advanced SQL queries to validate that live website is showing expected data for every page of the websiteAnalysis and implementation of Fannie Mae data into the Real Capital Analytics data modelCreated and implemented the monthly upload process and automated data integrationLogical programming business rules into a BREAnalysis and implementation of European construction data from; Ireland, Austria, Germany, Switzerland, Norway, Sweden, and FinlandData partners from each country provide us data files monthlyCreated and implemented the monthly upload process and automated data integration

Columbus, Ohio, Us

J.Crew JDA MFP software implementation August 2016 – February 2017• David Yurman Oracle RPAS software design and implementation March 2017 – October 2017• The Children’s Place JDA Allocation Software October 2017 – January 2018 • Mars Candy TXT Retail project management, overseeing development, implementation, and training January 2018 - Present• Performed system functionality testing for JDA Merchandise Financial Planning system o Wrote and developed thousands of test scenarios for every system in order to be assured that the system will perform at the highest capability• Performed data validation for the whole system down to SKU level o Able to validate 99% accuracy for a every product all the way down to color size level• SQL based Data Analytics to develop accurate sales and inventory forecast models• Built auto forecasting tools for standard store items and assisted in training users on seasonal item forecasting methods o Developed batch automations to perform forecasting without user commands on consistent products o Ran match functionality to be able to forecast like-minded seasonal items • E-Commerce and Retail sales forecasting• Reconfigured big data infrastructure o Took pre-existing data systems and manipulated data to flow into the new system seamlessly o Altered product hierarchies to better fit companies new determined direction and verticals • Wrote and designed Oracle RPAS merchandise financial planning system.• Wrote and executed functionality test scripts

Nyc, Ny, Us

Part time fitness instructor for Row House

Lawrence, Ks, Us

Winona, Mn, Us

Kansas City, Us

Columbus, Ohio, Us

Master Of Science - Ms, Applied And Computational Mathematics And Statistics: Data Science

Bachelor Of Business Administration (Bba), Marketing

Bachelor Of Science - Bs, Economics