iSpot TV | Research Director, 3 years
YouTube Measurement:
● Led the successful launch of YouTube measurement by iSpotTV, overseeing the strategic planning, scope finalization, and roadmap development of the product.
● Design and built the methodology for scaling solution to enable reach/frequency measurement of cross media measurement of YouTube, other digital OTT publishers & Linear TV.
● Conducted controlled experiments to assess different modeling approaches, optimizing measurement accuracy.
● Matrix managed/mentored junior data science associates to lead the methodology.
● Acted as a liaison between internal teams (Data Engineering, QA, Customer Success, Biz Dev) and external stakeholders (Google, clients), ensuring seamless collaboration and alignment of objectives.
● Evangelized the new product to iSpot's Sales, Customer Success teams, and external clients through training materials, product walkthroughs, and ongoing support, resulting in widespread adoption.
● Enabled measurement for 100 brands and 400 users, providing access to YouTube measurement reports within the first six months of launch, driving actionable insights and decision-making.
● Collaborated with the Marketing team to develop the GTM strategy & plan.
● OOH TV Measurement:
● Launched out-of-home linear measurement for iSpot in a tight timeframe of 5 months.
● Oversaw the definition and scoping of the various phases, & strategic roadmap plan for the product for various enhancements spanning across the next 2 years.
● Designed and built a scalable solution to enable Linear OOH content & ad measurement.
● Matrix managed/mentored junior Data science associates to build the pipeline using AirFlow
● Developed A/B testing approaches to refine measurement techniques for Out-of-Home (OOH) TV.
● Actively engaged with network clients to provide overview of the product & methodology.
● Collaborated with the Marketing team to develop the GTM strategy, marketing documents and communication materials.

The Nielsen Company | Data Science Director – Digital Space , 7 years
● Directly managed and led a 10+ person data science team ( a mix of onsite & offsite data
scientists & analysts) specializing in Advertising, Content, and Audience measurement across
multiple platforms (computers, tablets, smartphones, CTV).
● Managed a diverse portfolio of 15+ productionized solutions for Nielsen's key digital and total
audience measurement products, integrating panel measurement and big data analytics.
● Responsible for end-to-end Data science - product management, including product strategy,
roadmap development, and overseeing production code.
● Successfully launched new products (Digital Ad & Digital Content Ratings, Total Ad & Content
Ratings) in collaboration with major partners such as Facebook, YouTube, Hulu, Roku, Amazon,
leveraging identity partners like Epsilon, Truth Set, and Experian.
● Designed and executed controlled experiments to validate the impact of big data models on
measurement accuracy.
● Led projects enabling measurement for providers' big data using clean room matching systems
and ML models, driving actionable insights and strategic decision-making.
● Led experimentation initiatives to assess the accuracy of clean room matching systems and ML
models.
● Mentored the team in developing ML models and business analytics for syndicated products,
providing technical guidance and leadership throughout the modelling lifecycle.
● Collaborated effectively with Product leadership, Engineering, and Client Services teams, bridging
the gap between technical and non-technical stakeholders and demystifying Data Science models.
● Proactively identified opportunities and actionable strategies to drive KPI performance and
improve client deliveries
● Identify opportunities for improvement at an operational level, working closely with Technology,
Operations, and Product Leadership teams to ensure on-time and quality delivery of products
using statistical testing and data-driven experimentation.
● Identified gaps in current metrics and data capture strategies and collaboratively implement enhancements
● Performed ad-hoc research and analysis to help drive marketing discussions & new initiative experimentation
● Filed 15 patents for Nielsen's key Digital & Total Audience products, showcasing innovative
contributions to the industry (8 awarded).
Data Science Professional - 6 years
● Lead Role in providing design, methodology (that combines panel data with census), analytical
support & strategic business insights for high visibility products (e.g.Mobile audience
measurement, Digital Ad Ratings).
● Played a key role in establishing and enhancing the DSci methodology for panel & survey based
products in US and other international countries in Europe.
● Managed data science team formation, training, and day-to-day tasks.
● Build Lab test environments for checking data capturing & product issues. Set up Friends &
Family tests for checking consumer experience & data completeness.
● Few Key Achievements in junior roles were
● Single-handedly produced the client deliverables solutions by creating a back-end
process that involved designing & implementation.
● Single-handedly set-up the classification process & trained the Ops leader in
classification rules.