Apr 2025 – Sep 2025 · 5 mos · On-site

• 1. Leading and mentoring the Product Analytics team to generate actionable insights that optimize the user journey.
• 2. Defining and tracking key product metrics related to engagement, retention, and monetization.
• 3. Conducting deep-dive analysis on user behavior, A/B tests, and funnel performance to inform product strategy.
• 4. Working closely with Product Managers, Engineers, and Designers to implement data-driven enhancements.
• 5. Developing and refining frameworks for measuring product success, experiment impact, and feature adoption.
• 6. Enabling self-serve analytics across teams by improving dashboards, reporting structures, and instrumentation.
• 7. Utilizing machine learning, clustering, and segmentation techniques to uncover patterns and drive personalization.
• 8. Collaborating with leadership to establish a strong data culture within the organization.

Jul 2024 – Mar 2025 · 8 mos

• 1. Led a group of data and BI engineers to design and build scalable data pipeline and
• automation solutions, metrics and dashboards using cloud native tools across Google ecosystem such as Dataform, BigQuery, Cloud Composer, Dataflow, and Pub/Sub
• 2. Built and maintained pipelines to ingest data from diverse systems and sources, such
• as SaaS solutions, APIs, files, and databases
• 3. Translated product and business needs to build data models for accurate and consistent data analysis and reporting
• 4. Implemented data validation and monitoring processes to ensure data quality and integrity throughout the data lifecycle
• 5. Provided technical leadership to a team of data and BI engineers by vetting their designs, and mentoring them to realize their full potential.

Mar 2022 – Jul 2024 · 2 yrs 4 mos

• 1. Established, with Product and Engineering, a comprehensive country-level database of proprietary Samsung data to support priority use cases, including requirements creation.
• 2. Worked with cloud and data warehouse technology, and analytics tools such as SQL and Python, to leverage corporate data infrastructure to support ads use cases.
• 3. Established a suite of data-driven ad targeting and measurement capabilities to grow Samsung’s ads business, as well as adopted and directed the deployment of established data solutions to new markets.
• 4. Created an ad sales research toolkit to enable media sellers to communicate the value proposition in a data-driven story.
• 5. Hired and managed additional analytics staff to meet client needs.
• 6. Led dialogue with sales and major clients about their media insights needs and opportunities.
• 7. Created and managed an insights/thought leadership program in conjunction with marketing to drive awareness and sales.
• 8. Coordinated strategic relationships with third-party measurement partners.
• 9. Identified new solutions with third-party measurement partners (e.g., targeting, attribution).

Aug 2021 – Mar 2022 · 7 mos

• 1. Was responsible for setting up the CI/CD pipeline using Google CloudBuild.
• 2. Oversaw the maintenance of existing ETL pipelines, reporting dashboards, and semi-automated trackers.
• 3. Identified ways to continually improve technical infrastructure to increase performance, reliability, and scalability, and proactively managed data quality.
• 4. Created and maintained documentation of newly established solutions, processes, and best practices.
• 5. Was responsible for the recruitment, management, and mentoring of analytical resources, ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs, and their continuing development as professionals.

Dec 2018 – Aug 2021 · 2 yrs 8 mos

• Worked in the Data Integration team, responsible for supporting automotive business areas in procuring and onboarding new data sources and managing integration into existing products and processes.
• 1. Assessed, analyzed, and built processes to ingest new data sets.
• 2. Designed data structures and processes for the integration of new data into existing datasets and marts.
• 3. Created revenue-related business cases to justify data purchase costs.
• 4. Facilitated knowledge sharing of new data source content and permitted usages across teams and portfolios to leverage maximum value from data assets.
• 5. Supported projects and application developments utilizing new data sources, such as the development of an Identity Graph and the creation of a combined vehicle reference data set linking all the vehicle data owned by IHS Markit’s subsidiary companies.
• 6. Created and maintained a data wiki, communicated and socialized new data assets across all portfolios and teams.
• 7. Transitioned newly onboarded data sources to a steady state and handed them off to the Data Operations team.

Jun 2016 – Dec 2018 · 2 yrs 6 mos

• Worked as part of the Data Management team and was responsible for:
• 1. Designing solutions for complex data processing efforts.
• 2. Executing all standard project management functions, as well as business analysis and quality assurance.
• 3. Creating data processing designs, including data flows, logical data structures, configuration, and data quality checks.

Nov 2013 – Jun 2016 · 2 yrs 7 mos

• Worked as a Siebel Analyst for GlaxoSmithKline, a client of Wipro. Responsibilities included:
• 1. Developed complex reports based on client requirements using various tools.
• 2. Created and maintained interfaces for data transfer between the client and various data vendors.
• 3. Debugged, documented, and rectified complex issues with the Siebel application used by GSK Medical Reps and Local Admins.
• 4. Provided technical know-how and knowledge to new hires about the data flow in the application and assisted them in their day-to-day work.