Professional Experience


On the engineering side, I have strong experience building data + analytics stacks from the ground up. On the analytics side, I'm most interested the areas of predictive modeling, optimization, data mining, and their usage for maximizing efficiency and profitability. On the business side, my specialties in business process transformation and the use of innovative technology to simplify workflows. I am driven by working on challenging, messy problems--ones where I can use my unique combination of skills to make a real difference.

June - August 2016

Plantation, FL

Tradestation Technologies

I worked as a Data Innovation Intern in Tradestation's IdeaLab, a corporate incubator for new, exciting experimental projects. I helped develop a Machine Learning model for customer attrition probabilities, as well as a dashboard and automated data pipeline in Azure ML for use by key stakeholders.

August 2016 - January 2017

Remote

Tradestation Technologies

I was extended as a remote contractor, continuing to improve the predictive capability of the model. I collaborated across the company to standardize usage and craft a customer retention strategy centered around what was developed over the summer. 

June - August 2017

Pittsburgh, PA

BNY Mellon

I worked as a Data Engineering Intern on a team creating a debit card web portal for one of the bank's large institutional clients. I helped in design, creation, and testing of a databse model that would correctly, efficiently, and securely transfer information on millions of customer accounts.

June - August 2018

New York, NY

Deloitte LLP

I worked as a Technology Intern on Deloitte's company-wide Innovation team. I analyzed business processes in the firm's tax division, proposed a digital innovation strategy, and developed a POC that could liberate millions of dollars in work-hours. I also developed a NLP classification algorithm for tax account types.

June 2019 - April 2020

Boston, MA

DraftKings, Inc.

I was a Business Data Analyst on DraftKings' iGaming (Casino) Ops team. My work centered heavily on growth and behavioral analytics, including generating data-driven customer insights, promotion analysis, business reporting, and experimental design. 

April 2020 - May 2021
Secaucus, NJ

Manager, Digital Product Analytics @ National Basketball Association (NBA)

I worked on the Product Growth & Analytics Team for the Digital Products group at the NBA. I helped to build up the infrastructure, processes, and culture to embed data-driven decision making into the organization's DNA. 

May 2021 - Dec 2021
New York, NY

Head of Data @ Kangaroo

Fulfilled all data-related functions and engineered Kangaroo's data stack from the ground up. Created, managed, and implemented the company data roadmap. Stack: Fivetran, Snowflake, DBT, Looker, Census.

Jan 2022 - Jun 2023
Remote

Data Lead @ Osmo

Lead a team overseeing gaming data architecture and analytics stack. Responsibilities include data pipelining, reliability, governance, reporting, analysis, and QA. Point of contact for all data needs in the company, including for product, marketing, finance, and ops teams 

Jun 2023 - Present

Data Product Lead @ Tipico,
Director of Analytics and BI @ Tipico and LeoVegas Group

(Tipico US was acquired by LeoVegas in Jun 2024). I oversaw data strategy and execution in more of a product role before transitioning to a technical management role where I directly manage a team working on BI, analytics, and data science projects.

         Last Updated 9/18/2024

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