Changing the product when growth changed customer value.
I co-founded And1Analytics and led its evolution into Monster Roster. When identical lineups split customer winnings, I led the team to build a guided optimizer with algorithm-backed recommendations and user choice.
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And1Analytics: $100K in early revenue
I co-founded And1Analytics in high school in 2015. We sold algorithm-backed daily-fantasy lineup recommendations through social media and a website, helping customers choose a roster without doing all the underlying research themselves.
From my high-school senior year through the end of my freshman year at Georgetown, And1Analytics generated $100K in cumulative company revenue. It was the original business that became Monster Roster.
A winning lineup exposed a scaling limit
One recommended lineup put multiple customers in a shared first-place finish in a large tournament. That success helped build demand.
As the business grew, I saw the limit in selling everyone the same completed lineup: customers entering the same contest could compete for the same winnings. I wanted to keep the guidance they valued while giving them a say in the roster.
Give customers choices around the recommendation
A fully unrestricted builder would give customers freedom but put more research back on them. I led a multidisciplinary team to build a guided optimizer combining algorithm-backed locks, recommendations and user choice. Locks held recommended players in the lineup; they were not guaranteed winners. Customers chose among model-selected options for the remaining positions, using player cards and a final roster view.
I owned product direction and experience design. Engineers and quantitative collaborators implemented the software and recommendation logic. Shared choices could still produce overlapping lineups.

Let customers track the picks they chose
Customers repeatedly used historical filters to check earlier recommendations. I designed a tracking feature that let them select recommendations to follow and review their results over time. It tracked their chosen picks, not transactions imported from sportsbook accounts.
Leading the team
I managed engineering, data science and design. I separated their working loops: mockups and beta feedback for customer experience, with distinct iteration and testing for engineering and data.
1,000+ paying customers across the venture
Across And1Analytics and Monster Roster, we acquired 1,000+ paying customers as the venture grew into subscription web and mobile products. It became the first company selected for the Philadelphia 76ers Innovation Lab.
After freshman year, I took three years away from Georgetown to pursue the business. I returned in 2019, and my founder role ended that December. I completed my BA in Psychology in 2022.

