• Built and automated a bespoke look-alike algorithm to extend the reach of KPM offsite media campaigns.

• Ideated projects to stress test the methodology of the look-alike algorithm, guiding junior data science talent in execution and presentation to both technical and non-technical stakeholders

• Collaborated with a cross functional team in building an automated multi-touch attribution solution powered by custom models to calculate iROAS for cross channel campaigns. Model insights were visualized in a Tableau deliverable, which serves to showcase optimizations for future media campaigns

• Led 84.5FUN Chicago in organizing and championing employee happy hours, recruiting activities, and networking events to encourage cross office collaboration across functional teams

• Actively participated in recruiting and interviewing data science talent across a variety of grade levels

• Developed natural language processing projects using sentiment analysis, named entity recognition, and string distance metrics in order to create an automated solution to forecast product trends in the market.

• Scoped and conducted control store tests using ANCOVA and Bayesian Structural Time Series to quantify the impact of in-store initiatives, making recommendations to leadership as to their efficacy and impact on key KPIs

• Collaborated with SMEs to draft and implement a linear programming optimization model, which recommended space allocations on shelf for key ready-to-drink beverage categories. Accompanying Tableau tool was leveraged to implement recommendations across the enterprise

• Developed predictive NLP project ideas for the summer internship program. Mentored and guided interns through projects and presentation of final product to key stakeholders