Feb 2024 – Jan 2025 · 11 mos · On-site

• A PIF Company building 400,000 homes
• At Roshn, I am instrumental in setting up and scaling the product management function, laying down product management practices, and hiring and mentoring a team of 5 talented Product Managers. I’m driving a shift towards a data-driven and AI-first product vision, leveraging advanced ML and generative AI to radically rethink how we approach the home-buying experience.
• Digitized the home-buying journey, significantly reducing the average closing time from over 14 days to just 1 days.
• Developing personalization capabilities using a Customer 360 view, delivering customized recommendations
• Spearheading a project to rethink the Sales Advisor app using generative AI, transforming how sales advisors interact with leads, manage preferences by leveraging LLMs
• Introduced a home customization program, giving homeowners flexibility in add-ons with significant incremental revenue opportunities.
• Working on Launching an AI-powered interior design tool, partnering with top furniture providers, that would improve both customer satisfaction and revenue.

Nov 2023 – Feb 2024 · 3 mos · Austin, Texas Metropolitan Area

Feb 2023 – Present · 3 yrs 4 mos · Bengaluru, Karnataka, India · Remote

Jan 2023 – Jan 2023 · 0 mo · Austin, Texas Metropolitan Area · On-site

• Co-founded an AI health tech startup focused on enhancing clinical operations from appointment scheduling to note-taking and insurance prior authorization , improving efficiency and reducing administrative burdens for healthcare providers.
• Secured funding from Antler, enabling rapid development and deployment of innovative solutions.

May 2022 – Nov 2023 · 1 yr 6 mos · Seattle, Washington, United States

• In my role at Amazon's Advertisement Science Team, I led Machine Learning initiatives that enabled more intelligent, data-driven decisions across Amazon's ad ecosystem. By collaborating with economists, data scientists, and engineering teams, I launched and scaled 7 different machine learning models and metrics that optimized both shopper experience and advertising effectiveness, driving strategic value through advanced ML applications.
• Led the launch and adoption of a Reinforcement Learning-based ML model that predicts long-term impacts of new products and features using only 4-5 weeks of experimental data, significantly reducing the time to actionable insights.
• Developed a causal inference ML model to analyze the impact of ads on shopper engagement and Amazon’s financial metrics, empowering senior leadership with insights reviewed quarterly to refine ad strategy.
• Launched a holistic Shopper Experience Value metric that integrates multiple factors into a composite score, helping product teams make data-driven trade-offs in feature development.
• Introduced an Ads Impact Persona model, leveraging ML to optimize ad density and relevance for specific customer personas, achieving a substantial revenue boost in key markets.
• Enhanced Marketing Measurement by incorporating ad revenue attribution, utilizing advanced ML models to improve accuracy in measuring the cross-channel impact of marketing campaigns.

Mar 2020 – Aug 2021 · 1 yr 5 mos

• As Senior Product Manager at AirAsia, I defined the product strategies for company products and coordinated with the cross-functional teams of Marketing, Design, Legal commercial, and UX teams for preparation of product launch worked closely with the customers
• Key Achievements:-
• Launched 4 different products from ideation and scaled the products to multi-million dollars in revenue.
• Building airasia.com Travel & Lifestyle platform for the ASEAN region.
• Led Product Management of the COSMOS platform, Homepage, Corporate Travel, and Unlimited Flight Pass
• Led Design sprint workshops for top management to define long term product strategy

Feb 2019 – Mar 2020 · 1 yr 1 mo

• As a Product Manager, I worked closely with customers, UX, and design teams to define long-term product strategy for the Deals Product.Worked closely with the senior leadership team in commercial, marketing, engineering, and design team for the preparation of Product Launch and successfully Launched AirAsia Deals and Unlimited Flight Pass products.
• Key Achievements:-
• Conducted Design Sprint workshop with the leadership team to identify medium to long-term product strategy of Deals Product.
• Successfully pivoted Deals Product to Unlimited Flight Pass in the initial days of COVID.

Jun 2018 – Feb 2019 · 8 mos

• While working as a Data Science Manager in AirAsia, I collaborated with the stakeholders from the Airline Operations team to understand and define the business strategy through data lens, fulfill data requirements and drive business strategies.I also created executive dashboards using Tableau and Data Studio to display the trends and alert the operations team to take timely actions to ensure smooth airline operations.
• Key Achievements:-
• Spearheaded initiative of better management of Fly Through passengers by identifying passengers at risk of missing connecting flights, thereby taking preventive measures, resulting in a better experience for our guests
• Implemented machine learning model to upsell ancillary products
• Implemented a fraud detection system to help to identify fraudulent transactions with more than 80% accuracy.
• Conducted data analysis and identified additional revenue generation opportunities by optimization of aircraft and seat allocation

Sep 2017 – Dec 2017 · 3 mos · NCR - National Capital Region, Philippines

• As an Academic Project at Del Monte Foods, I worked closely with Senior Management in the Supply Chain team to identify and screen potential opportunities to improve the efficiency in the supply chain.
• Key Achievements:
• Developed an optimization model using mixed-integer linear programming to optimize the Product Allocation for manufacturing. This resulted in cost savings of about 1.5%

Jun 2017 – Aug 2017 · 2 mos · Dili

Jan 2017 – Apr 2017 · 3 mos · Bangkok Metropolitan Area, Thailand

• Tasked with analyzing their existing promotion processes, we came up with processes and strategy to improve the internal processes which in turn would help in better execution of promotions.

Sep 2016 – Dec 2016 · 3 mos · Kuala Lumpur, Malaysia

• Tasked with analysing the declining market share of Johnson’s Baby products, we analysed current marketing strategy and recommended a local touch in their marketing campaigns and loyalty program to retain consumers.

Dec 2015 – Aug 2016 · 8 mos · Sakleshpur

• Involved in managing 70 acres of Coffee Estate
• Scheduling and executing the work in the plantation.
• Effectively managed 15-20 labourers on a daily basis
• Increased the productivity per person by mechanization in few areas and effective utilization of resources.
• Used scientific approach to improve the overall health of the plants.

Dec 2014 – Apr 2016 · 1 yr 4 mos · Bengaluru, Karnataka, India

• A real-time School Bus location tracking app to help parents track the kid's school bus and save crucial time.

Dec 2012 – Dec 2014 · 2 yrs · Bengaluru Area, India

• Extensively worked on Business Intelligence projects for a large insurance client. Developed and maintained ETL codes using informatica to extract large sets of data and generate reports using BI tools such as Business Objects and Cognos.