Parth Tondwalkar

Managed an evolving rewards program for approximately 35,000 global third-party advertising agencies, directly contributing over $1 billion in annual revenue.

Designed and executed A/B tests for email and webpage campaigns, optimizing program experience and informing strategic changes to enhance user engagement.

Developed and deployed linear regression and time series models to accurately forecast partner revenue, enabling the setting of challenging growth targets and strategic planning.

Improved team's Net Promoter Score (NPS) from neutral to positive within two years through effective stakeholder management, concurrently leading a team of two junior consultants in code and analysis reviews.

Conducted over 20 technical interviews for data science roles, contributing to talent acquisition and maintaining high technical standards within the analytics team.

Developed and deployed an Outlet Potential modeling solution using ALS, LightGBM, and OLS models on Azure, providing weekly order recommendations for stores across European markets.

Scaled the Outlet Potential modeling product across multiple markets by implementing agile methodologies, significantly improving operational efficiency and decision-making.

Engineered an audio classification model for tennis matches, utilizing Audacity to derive sound-based features and accurately distinguish in-match sounds.

Implemented sequential property analysis to classify audio segments, enabling automated highlight generation for tennis matches and enhancing content creation.