Jan 2022 – Oct 2025 · 3 yrs 9 mos · India

• AI Powered Customer Engagement Platform | US & EU | and a lot of wins with team

Jul 2021 – Jan 2022 · 6 mos · Berlin, Germany

• Tech, Product • Launched v2 of actio- knowledge exchange app in the creator's economy.
• Build the creator revenue-cost model and pricing strategy.

Nov 2020 – Jun 2021 · 7 mos

• Product-Led Growth, Product Marketing & CRM — owning the full revenue stack across feature adoption, packaging, cross-sell, and monetization.
• Lead a team of 10 across email/mobile push, lifecycle orchestration, retention modeling, fan engagement, campaign performance analysis, and audience segmentation. Own paid subscription KPIs (upgrades, win-backs) and engagement metrics (time spent, video view frequency) with direct accountability to revenue targets.
• Operate as the connective tissue between Analytics & Data Science, Paid & Owned Media, Brand & Partnerships, and Product & Editorial — driving rigorous, data-informed consumer messaging strategy through segmentation, behavioral targeting, A/B testing, and multi-channel campaign execution at scale.​​​​​​​​​​​​​​​​

Nov 2019 – Dec 2020 · 1 yr 1 mo

• Built LOVOO’s CRM function from zero, engineering the retention and monetization infrastructure for one of Europe’s largest social entertainment platforms.
• Owned the full stack: behavioral segmentation, lifecycle orchestration, multi-channel messaging, churn prediction, and monetization logic — translating data signals into revenue and long-term user value.
• Turned high-performing campaigns into scalable, productized growth systems. Closed the loop between CRM, Data Science, and Product to make every user touchpoint smarter, faster, and more profitable.
• The result: A leaner funnel, higher LTV, and a CRM team built to win.​​​​​​​​​​​​​​​​

Jan 2019 – Nov 2019 · 10 mos

• I worked with awesome PM's, marketing team, engineers, designers and the brand team. I had the opportunity to impact millions of users and to add revenue through in-App Monetisation.
• Focus area: Live Video Monetization (Micropaymwnts) and Subscriptions Revneu.
• Worked On
• 1. Orchestration (segmentation, customer journeys, triggers & flows)
• 2. Campaign Analytics
• 3. Optimisation
• 4. Experimentation
• 5. Automation & LifeCycle campaigns
• 6. Processes & Team
• 7. Channels
• a) Push-Notifications
• b) In-App
• c) Email
• Revenue focus areas = Subscriptions and In-App Purchases
• Impact through conversion rate optimisation, increasing ARPPU, and Payer-Share.
• Provided leadership and direction for CRM initiatives and managed day-to-day interactions with executive stakeholders and sponsors. Managed projects related to consumer engagement strategy, direct marketing operations, and consumer analytics and intelligence
• Developed the strategy and tactics to acquire, engage, retain, and thank our Disney/ABC Television consumers
• Provided CRM consulting services to internal Marketing, Product, and Sales teams with a focus on providing direct marketing campaigns, consumer-level insights, and audience profiles.
• Took the lead in driving personalization for consumers in all facets of marketing and product.

Jun 2018 – Dec 2018 · 6 mos

• Launch LOVOO Live
• Product Ninja
• As Product Manager at LOVOO, I led the development of our Live Video platform, combining real-time streaming with AI moderation. Working with engineering, I defined the technical requirements and architecture needed to solve our core challenges: integrating Agora's WebRTC infrastructure while maintaining low latency and implementing effective content moderation.
• I collaborated closely with our backend team to specify the data pipelines and APIs between Agora's services and our systems. My technical background helped me partner effectively with engineering as we designed solutions including Redis caching for user profiles and an async processing system for AI moderation that preserved stream performance.
• The architecture I helped design included:
• WebSocket protocol for real-time chat and moderation
• Redis caching for user profiles
• Async event processing for AI content analysis
• Regional edge servers for latency optimization
• Framework:
• Identify a real problem (observe existing challenges, Look for friction points in current state), Question all assumptions using first principles thinking. Find who suffers most. Do deep market research. Reach out and interview target users. Validate the problem's core pain. Brainstorm tech-driven solutions. Prototype quickly. Test with users. Iterate relentlessly.

Jan 2017 – Jan 2018 · 1 yr · Berlin Metropolitan Area · On-site

• Software Engineer - Mobile Marketing Platform
• 360dialog GmbH (Acquired by Censhare AG) | 2015 - 2017
• Built real-time mobile engagement infrastructure and ML-driven automation systems for enterprise clients.
• Developed push notification delivery systems, in-app messaging SDKs, and event processing pipelines
• Implemented ML algorithms for user segmentation, message timing optimization, and conversion prediction
• Built A/B testing frameworks with statistical significance engines for campaign performance measurement
• Engineered recommendation systems for personalized content delivery and next-best-action prediction
• Designed and optimized backend services for real-time user lifecycle scoring and churn prediction
• Developed data pipelines for feature extraction, model training, and real-time inference
• Impact: Built ML models that improved click-through rates and conversion metrics. Recruited by LOVOO for platform engineering work.
• Stack: Python, Mobile SDKs (iOS/Android), RESTful APIs, ML libraries (scikit-learn, pandas), Real-time event processing, Database optimization,

Jan 2016 – Jan 2017 · 1 yr · Brabantine City Row

• Built and optimized D2C eCommerce infrastructure and marketing automation systems for Philips Hue across European markets (FR, DE, UK/I).
• Developed pricing optimization algorithms and competitor price scraping pipelines for eBay stores
• Built ETL data pipelines to aggregate market trends, sales data, and competitor analytics across multiple markets
• Implemented marketing attribution models and customer journey tracking systems for multi-channel campaigns
• Engineered A/B testing frameworks for campaign measurement across eBay and Hue Shop platforms
• Created automated reporting dashboards for B2C sales benchmarking and KPI tracking
• Developed recommendation engines for product cross-sell and upsell optimization
• Built customer segmentation models using purchase history and behavior data
• Stack: Python, SQL, Web scraping (BeautifulSoup/Scrapy), ETL pipelines, eBay API, Google Analytics API, Data visualization (Tableau/Power BI), Statistical analysis

Jan 2016 – Jan 2017 · 1 yr · Brabantine City Row

• Received 100% Scholarship from Google to learn Android app development.
• Built an app to help Football freaks to measure their goals, yellow and red cards.
• The app was selected top 100 among 70000+ applicants.
• The course was completed on Udacity.

Jan 2014 – Jun 2015 · 1 yr 5 mos · Greater Kolkata Area

• Meralight eStore, technical founder

Jan 2013 – Jan 2013 · 0 mo · Greater Kolkata Area

• Nerd building on website, ecommerce and full stack