1. Craft contextual and personalized campaigns to engage users through Push Notifications, In-app Messages, SMS, Web Push, Emails, Facebook, and more.2. Integration of CRM tools and consistent revamping of data points for precise tracking and explore more avenues for retargeting on product end for all platforms (Web, iOS, Android)3. Used various APIs for creating recommendations for users and improving the same using multiple ML-based models. 4. Worked with the data team to formulate revenue models for the strategic partnerships with mobile brands for preloads, and other marketing purposes.5. Streamlined and aligned the whole retention marketing strategy (Content, Point of target, Audience, and Design) for INSUB and APAC regions catering to 7 different languages.6. Worked on various report automation and on setting up multiple dashboards to monitor key business insights.7. Spearheaded the Hindi App localization project – worked closely with different Product Managers, developers, content, and integration teams following a proper timeline and strategy.

My primary work involved working with clients to formulate system requirements, develop system plans and documentations, review and evaluate existing systems, and design and modify systems to meet users' business needs. Responsibilities also included doing Competitive analysis as per the market sector which the client is dealing with, providing best launch platforms, and also evaluating the ROI of the project from resources and time spend.

Working as a Growth Hacker major work involves Product analysis (App and Web Daily Funnel Metrics) and strategies about maximizing the user engagement (Push Notifications) and minimizing the drop. Planning also involves major product changes in terms of features, view and user-friendliness and scalable and non-scalable digital marketing (online campaigns for traction).

Co-Founded HOLA in Jaipur, a Morning Food Aggregator company predominantly serving customers for their morning food requirements at their doorstep. Work majorly involves the acquisition and optimizing sales and day to day operations. We were able to acquire 117 customers in 2 months who were enrolled with us on a subscription basis. Since we were dealing with the breakfast category, we also used to focus on how we can bring down our costing, how to assemble and pair up the products in order to reduce cost and maximize returns and at the same time, can help in triggering some action from user end.

We worked on emotion classification using different peripheral physiological signals.We were able to classify available data into four basic emotions( joy, happy ,sad , hate)upto sufficient accuracy using different machine learning techniques