End-to-end custom chat-bot conversation modeling and assistance in data-model redesign. Developed and managed internal and external data insights projects for multiple stakeholders across teams.

Responsible for modeling structured and unstructured audience data using machine learning to derive insights on readership, advertising, website usage and design and inform product management. Experience in Machine Learning, Python package development, Network Modeling, Bayesian Modeling, Sentiment Analysis and Data Visualization

Consulted the board on marketing strategy for the business while handling ATL and BTL activities for the brand.

Conducted customized primary quantitative market research for clients in Indian retail space

• Managed customized projects across categories for clients in FMCG, telecom and alco-bev space.
• Executed the first Connected Shopper study in India – implemented digital in-store observation of purchase journeys.
• Specialized in the nascent shopper research practice in India as a core member of the shopper team in India.

• Trained and specialized in eye-tracking, Concept and Product testing and Habits and Attitudes studies.
• Trained and managed a team of around 10 field executives and their teams to ensure quality data collection at source.
• Served as a Brighter Futures Champion and organized fundraisers for UNICEF and Nepal Earthquake relief.

Worked across quantitative and qualitative consulting projects for clients

• Prepared presentations drafts and monthly data sheets for monthly brand track study of a major automotive client.
• Supervised field-work, mock calls and quality check of questionnaires for maintaining data quality.
• Observed interviews and prepared content analysis drafts for qualitative ad-testing and eye-tracking studies.

Implemented Scrum to gear project execution and assisted in data mining

• Managed execution of DSS project on creation of “Promotion Effectiveness” tool using Scrum. Team size: 10+
• Performed data mining to discover patterns in the data collected daily from various format stores through SAP system.