• Led the transition from Amazon Quicksight to Sigma (Snowflake-owned BI Tool) for the first Sports Betting Exchange in the United States: re-creating and enhancing existing visualizations to allow for members of all teams to independently make data-driven decisions• Enabled Prophet’s Operations team, using Sigma, to gain real-time insights into Patron and Market Maker’s live positions and exposure on every betting market on the Exchange• Wrote custom SQL queries which defined custom attributes that allowed the marketing team to automate communications to users for the purposes of reactivation, retention, education, etc.

• Built, maintained, and updated 40+ dashboards in Amazon Quicksight using custom SQL queries to enable automated legal and marketing reporting, as well as provide data-driven insights to Product, Operations, and Trading teams to aid in daily decision making• Coordinated with Product and Engineering Team Leads to diagnose ongoing issues with existing Marketing-Tech stack, including debugging issues with front-end user events as seen through custom events defined in Segment: eventually enabling more coherent reporting for paid media and affiliate partners• Defined and built customer segmentation and lapsing propensity models to enable automated customer bonusing and retention efforts based on player behaviors, characteristics, and tendencies

• Acted as the primary point of communication between Ekimetrics and one of the largest food services companies in the United States • Co-led initiatives within the client’s environment to standardize data processing and modelling activities: enabling the client to internalize and industrialize their MO (Media Optimization) program • Onboarded, trained, and managed a Junior Consultant who joined Ekimetrics after completing an undergraduate degree• Maintained an active role in building and deploying MMM models for multiple brands within the client’s portfolio

• Built and deployed Marketing Mix Models (MMM) using machine learning algorithms to Fortune 500 companies in order to measure the incremental impact of all marketing and promotional activities on various KPIs • Compiled and treated data from multiple data sources using Python, Apache Spark, and SQL to create model-ready databases • Translated model results into actionable insights and recommendations for non-technical stakeholders to optimize clients’ marketing budgets and ROIs

• Developed and constructed financial models for all portfolio companies reflecting total investment over $8 MM in order to analyze portfolio performance• Performed necessary due diligence activities, such as financial reconciliation, on equity and real estate investment opportunities• Assisted in document retention and communication between both brokers for commercial real estate investments and leadership from companies seeking Series A or B investment

• Created the first sports betting protection platform allowing bettors to insure their wagers against unforeseeable events• Awarded $5,000 by Wake Forest University’s Startup Lab as a part of our acceptance into the program• Selected to represent Wake Forest at the annual ACC Entrepreneurship Competition• Developed models to predict unforeseeable events in sports using Machine Learning algorithms• Designed company website through the Duda platform

• Collected and allocated $3,500 in team funds and dues to fund uniforms, apparel, and team transportation• Scheduled, organized and ran 3 practices per week, 2 games per week, and tournaments while coordinating with other university captains and staff

• Reported directly to the Chief Marketing Officer for the fastest growing specialty insurance carrier in the world• Developed a Social Media Ambassador program with other members of the M&D team to be used by hundreds of employees to promote the Everest brand online• Produced and distributed marketing collateral internally and externally for broker relationship meetings• Collected, interpreted, and adjusted data involving gross written premiums, submissions, and financial ratios to provide recommendations for new business and broker terminations as well as general reporting of quarterly broker performance• Analyzed data using R and Excel from 5 social media campaigns across 2 platforms to help produce content for future posts based off interaction and click-through rates