Jul 2019 – Present · 6 yrs 10 mos · Noida Area, India

• Built a profitable RMG venture with ₹20+ Cr ARR and 1.2 Lakh+ MAUs [2022]. Till 2023 we have published three successful gaming titles - Magic Rummy, Real 8 Ball Pool and Magic T23 Built the team from 0 to 30 in Product, Analytics & Operations with a key focus to grow engagement & revenue metrics.

Oct 2018 – Jul 2019 · 9 mos · Noida Area, India

• Within a month, I set up an agile, product growth team. I undertook a steep target to grow restaurant bookings by 100% in 6 mnths, restaurant bookings were growing at 5% m-o-m. [2017]
• Thorough due diligence, product analytics, internal interviews, customer voice call analysis highlighted the below issues that were hampering growth and implementation of growth initiatives
• Poor data collection at different stages of user journey (click stream data, user touch points such as install, call times , user variables (lat long, mobile device)
• Customer profiles based on behaviour or outcome did not exist. Initiatives to move customer movement was not possible.
• Customisation of app, features (offers, banner ads) based on customer profile was not possible
• Business metrics were measured and reported at an aggregated level.
• Customers who use the app at very low frequency, need to create high frequency use cases to boost TOMA (top of the mind awareness) metrics
• AARRR framework showed that top funnel metrics have a lot of scope for improvement, currently are poor as compared to industry standards.
• We came up with a detailed focus plan to build the right foundation on which growth initiatives/experiments can be carried out. Over 6 months we were able to take implement 3-4 growth experiments monthly and also achieve m-o-m growth of 15%.

Dec 2015 – Sep 2018 · 2 yrs 9 mos · Noida Area, India

• Product Head of Teen Patti & Play Rummy (Rummy with Real Money)

Jun 2015 – Dec 2015 · 6 mos

Dec 2014 – May 2015 · 5 mos

• Setting up a core team – Planning hiring requirements, talent selection & mentoring
• Building data maturity in the organization - Bringing a combination of right tools, people, and intent
• Driving projects – Improving LTV (Life Time Value) , Reducing attrition, Improving customer experience

Jun 2014 – Nov 2014 · 5 mos

• Initiatives pioneered and led
• Olx competitive standing – Where do we stand on content quality, customer experience, market size? What KPIs to track?
• Buyer-Seller – Who comes first? Do we have significant quantum of each? How can we improve liquidity?
• Customer lifecycle management - How can we identify our loyal customers and can keep them engaged? How can we increase the loyalty of semi-loyal customers and move them up the ladder?

Oct 2009 – Jun 2014 · 4 yrs 8 mos

• Led a team of 3-5 data analysts and worked for consulting engagements for consumer retail clients (such as TNF, Coles, Kmart, Schwan's) and banking clients (such as Chase, Amex) across geographies (Australia, Europe, USA). Few of the problem statements that we worked on -
• Use transactional data from multiple sources to develop predictive recommendation engine and enhanced revenue generating by existing customers by 70%- $1.5M annually (2010)
• Analyzed unstructured data such as customer email complaints, social media comments and uncover the hidden patterns in the data using text analytics.
• While driving business decisions, customer profile is an important layer that sits on top of a solid product. In order to solve the current business problems, should the customer profiling be built on outcome variables (like purchase value, LTV) or behaviour variables (like product awareness, discount sensitivity, click stream data)?
• Built analytical models to predict high value customers who are about to churn, and what product communication should be targeted to them, from what channel (re-marketing, SMS, email, call).
• How to build customer-centric processes, when you don’t have deep pockets! Avoid nuisance customers, by early predicting the negative LTV customer and not deploy resources towards them. Focus customer centricity towards customers who have the potential to become big.
• While working along some talented data scientists and consultants on complex business problems, I picked up multiple data analytics capabilities such as regression analytics, text analytics, forecasting analytics, random forest, CHAID, R/SAS/Python programming

Jun 2006 – Mar 2009 · 2 yrs 9 mos · Noida, Uttar Pradesh, India · On-site

• Worked as a part of frontend design and testing team, coded 1000+ new cases in Verilog for testing the design stability of ARM 4G microprocessors
• With ARM microprocessor as the backbone, prototyped a B2C product for the restaurant industry; Created a business proposal with market size, estimated cost of production; built sale strategy Won 3rd position for the best – design and go-to-market strategy