Feb 2024 – Aug 2024 · 6 mos · Bangalore Urban, Karnataka, India

• SMEs and individual business owners struggle a lot with social media growth and management. Because it's time-consuming, either they have to put their time or offload it to marketing agencies.
• Putting your time will not make a lot of sense as your expertise area is not this. And marketing agencies' ticket sizes are huge for such businesses. SMEs look for a solution that in their budget, does not require a lot of their time and delivers output.
• Introducing ReachifyMe.AI: ReachifyMe empowers SMEs by simplifying social media growth and management. Through Personalized Multimodal AI agents, it delivers an agency-level marketing experience, without compromising on quality, time, or budget.
• So it's like launching your social media team in a few minutes where you have all the control. You don't need to pay huge salaries, office space, and no fear about attrition and knowledge loss.

Feb 2022 – Apr 2024 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Lead Personalisation for Ajio B2C from scratch :
• Increased the revenue per user by 3% by creating personalized journeys for different cohorts of users.
• Increased PLP to PDP by 2% by sending personalized notifications based on a cohort of users
• Built personalisation service and integrated with all other downstream services to publish cohorts of users.
• Built capability to power differentiated landing pages, product ordering, coupon creation and pricing based on a cohort of users
• Build Dynamic product platform-level widgets such as new arrivals, Popular collections, Bestseller products etc which led to an increase in conversion by 1%.
• Ideated and created machine learning-driven logic for widgets and cohorts creation.
• Build the Feed ecosystem for Ajio Fleek at the user level(Instagram-based shopping platform). Built entire backend by storing the posts and stories data created by brands and powering the Feed page for user.

May 2020 – Feb 2022 · 1 yr 9 mos

• Built Personalisation, recommendation, Vehicle Asset Management System (VAMS) for OLA CARS (Vehicle E-Commerce), to manage entire lifecycle of second-hand cars.
• Currently managing 2000+ cars in 10 cities and responsible procurement to listed journey for all cars.
• Build Field Inspection App, to inspect the car and give procurement value taking inputs from the report. Currently, the App is being used by 124 field agents, with 20000 inspections/month.
• Built Catalog dashboard used for listing of cars in real-time, dropping listing time of car from 2hours/car to 30 mins/car.1500 +cars are listed using the dashboard.
• Designed and implemented backend flow for doorstep delivery of oxygen concentrator(O2ForIndia), integrating shadowfax for warehouses management.
• Booking level cancellation Monetary incentive to the drivers to complete those bookings whose cancellation probability is high. Reduction in cancellation, and higher fulfillment on the platform.
• Designed the framework to include auto in the "Book Any" category. Increase in fullfillment on the platform.
• Real-time communication to drivers about the cancellation charges of the current booking to increase driver experience and reduce driver cancellations

Jul 2019 – Jun 2020 · 11 mos

• Part of the Central Data Science Team at Ola in which I mainly worked on building Data Science products to solve business problems and optimize the overall allocation of OLA.
• Built an Acceptance ML model to generate a probability score of acceptance for a demand-supply pair. A probability score was used in real-time in allocation to fetch cabs who have a higher probability of accepting the booking. The net impact of the model was an increase of 2~5% booking level acceptance, in A/B testing across all Indian and international cities. (Live in production)
• Built a Net Completion ML model to generate a probability score of completion for a demand-supply pair. A probability score was used in real-time in allocation to prioritize cabs with a higher completion score. The net impact of the model was an increase of 3% booking completion, in A/B testing across all Indian and international cities. (Live in production)
• Built a DBSCAN model to identify homes of drivers and prioritize them at night whose distance from booking drop location and home is less. The result was a 0.8%~2% reduction in cancellation for long-distance rides across different Indian cities. (Live in production)
• Indentifying drivers who are doing competition booking to get an estimate of loyal and flippers of the total drivers at Ola platform.

May 2018 – Jul 2018 · 2 mos · Gurugram, Haryana, India

• Performed Conjoint Analysis to provide the right price point for buses passes on all routes
• Changed pricing of 10 primary routes taking CIR and seat/km occupancy into consideration resulting in revenue increase for the company.
• Evaluated the market size for door-to-door cab services
• Performed Monadic Research and estimated the conversion rate at different distance brackets and price points.

May 2017 – Jul 2017 · 2 mos · Gurgaon, India

• Jabong.com is fashion e-commerce company.As a product management intern my work comprised of:
• Changed the User interface of CRM order detail page.
• Worked on app features, submitted report on 20+ app features.
• Methods for new customer acquisition
• Increasing NPS and customer differentiator.
• Developed Understanding of CRM and e-commerce.

Apr 2017 – Jun 2018 · 1 yr 2 mos · Dispur, Assam, India

• Pronites Coordinator of the largest cultural festival of north-east India.
• Led teams of over 100 members for an entire year creating the largest cultural fest in Eastern India.
• Conceptualized, built and managed the entire festival right from scratch.
• Managed to get three Internationational funded shows from Embassies(Portugal, Israel and Denmark)
• Dealt with vendors and agencies for building up the basic infrastructure of the festival.
• Booked artists for the main nights of Alcheringa, came up with the best line up of all editions
• Carried out all the administrative jobs and managed the entire finances of this
• multi-million fest.
• With effective publicity and branding, managed a crowd of 90,000 during the fest.
• Also part of Campaign of "Desh ka Sandesh"

Nov 2016 – Jan 2017 · 2 mos · Greater Lucknow Area

• Pollinate Energy is an Australian social business company working in India, they deal with the solar products and aim to increase its use in the Indian market.
• Worked as fellow doing market and field research for finding procuring and making the products available to the unprivileged section of the society to make their lives sustainable.Made SROI(social return on investment) report for the fiscal year(2015-2016) based on data of Bangalore.It was a great experience to work with people from different country and their different approaches to solving a problem.