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Helping Studd Games identify new business opportunities in the 3D digital asset creation space and and develop global partnerships AR/VR tech.

As group product owner for the AI & Data team at New York Life, I help the company unlock incremental benefit from our Enterprise Data Assets and Machine Learning Investments. I work with the CDAO to shape the narrative on data and AI products at NYL and lead the transition from project-based initiatives to product-centric approaches.My current focus encompasses two key areas: 1. Developing AI solutions aimed at optimizing the underwriting process, employing both cutting-edge techniques such as Generative AI and classical data science methods2. Conceptualizing the vision for enterprise data products centered around customer data, initiatives such as Customer360.

Managed the marketing-data science roadmap for Samsung’s Customer360 (C360) platform. Products improved marketing ROI and enabled closed loop attribution in owned/paid marketing channels. Worked across Marketing, Demand Generation and C360 Leadership to productize and scale ideas across teams. Supported multiple product launches and key marketing initiatives. Co-ordinated work across Data Scientists, Engineers and BI developers and Samsung vendors. 1. Audience Generator: Built the dynamic audience generator tool to streamline owned channel campaign audience generation at Samsung. Tool provides real-time performance insights to campaign owners, reduces campaign setup time from 3 weeks to 1 day and projects marketing ROI lift of 12%. 2. Customer 360 and DS models: Implemented custom models to capture user propensity to upgrade their tablets, wearables, etc. Built cross product optimization frameworks and deployed MILP models to optimize offers for specific user segments (MPE). DS models ensured 30+% lift in engagement and conversion goals and generated $72Mn in incremental revenue on Samsung.com. 3. Audience Strategy - Owned Channels (’18-Present): Managed owned channel (Email, PN) audience selection for product launches and Marketing Initiatives between ’18 and ‘20. Co-ordinated deployments with multiple teams, defined attribution frameworks and created test plans. Ensured 1.6X growth YoY in owned channel conversions generating $200Mn in incremental revenue. Awards: Received Certificates of appreciation Q4’18, Q1’19, Q4’19 and Q1’20

As Director CRM Activations, I drove transformative strategies around customer data with all Samsung business teams. The goal was simple, leverage data to enhance customer engagement, optimize marketing performance, and drive sustained business growth. Grew and scaled a team of Product managers, Engineers, Analysts to achieve this goal.1. Engaged business leads and setup a process to convert with marketing strategies into data strategy that the activations team can rally around.2. Managed the integration roadmap between Samsung's internal data assets and top-tier activation tools, including CDPs, profile enrichment platforms, and audience managers.3. Transition data activation from 'projects' to 'product'. Developed an in-house product for automated segment and audience management.4. Orchestrated the AI roadmap for leveraging data science in segmentation and audience targeting, and performance measurement.5. Opined on data management policies with legal teams to ensure compliance while consolidating profile data across channels.

Responsible for CRM marketing activations at Samsung. Managing a team of product managers, data analysts and engineers to support marketing campaigns across DTC (samsung.com), Consumer Electronics, Home Appliances and Mobile business lines. The team is responsible for building data products and championing digital transformation initiatives to streamline Samsung’s marketing operations.

storytree.org is a genealogy app that helps families in kerala digitally track their rich history and complex ethnic routes.

Worked directly with the CEO to build the data science, analytics and product prototyping team in the company. Led multiple initiatives to create data products that established alternate revenue streams for the company. Built and coached a global team to handle all data science and analytics requirements at Resilinc. The team created the Resilinc EventWatch news clustering and classification service. The team was also responsible for building and maintaining all reports and dashboards on the resilinc platform.

Worked with the CRM team to build the product analytics and prototyping team in the company. Led multiple projects including improving Resilinc’s risk models, piloting data products. grew from an individual contributor to a team of 5 analysts.Team Built various tools and established processes to ensure that the ‘Voice of the Customer’ remained relevant in the product roadmap. Built a framework to prioritize feature requests across multiple customer accounts. Ensured that customers were part of the product release cycle by ensuring transparent and timely communication between customer and product teams.

Focused on delivering operational excellence to the customer. Worked across teams to conceptualize product around data consumption patterns. Ensured customer adoption either through improved product experience or better data usability.

Was part of the North America Supply Chain Analytics team at Nike. Worked oon projects to help define inventory optimization strategies. The project was one of the few intern presentations featured to Nike’s senior supply chain executives. Projects:Demand Sensing:Developed a capability at Nike to use Point of Sale data to collaboratively make inventory decisions with the wholesaler (Nike) and large retail accounts.Retail account purchase analysis (Always Available) :Studied Bullwhip effect in Nike's North America business and recommended measures to reduce inventory risk and optimize the supply chain.

Was as a business analyst with the lifesciences (products) analytics team at GTIN, Bangalore. Worked on multiple analytics and data visualisation projects for Clinical R&D, Trials management and commercial pharma.

Business analyst. Proficient in SAS/VBA/MS office. Worked with multiple clients in the life sciences and healthcare domain. Trained in structured problem solving, mathematical modeling, statistical reasoning.