Headline

Senior Analytics & AI Leader at Vivriti Next | Data Science & Analytics | Ex - Games24x7 | Ex - RedDoorz | IIT

About

Senior Analytics & Data Science Leader with 9+ years of experience delivering ₹40 Cr+ in cost optimization, ARPU uplift (+8%), and retention improvement (+10%) across 50M+ users and 3B+ transactions. Proven expertise in predictive modeling, personalization, segmentation, forecasting, and automation at scale. Experienced in leading cross-functional initiatives and heading a high-performing team of 4, scaling BI & ML ecosystems, and shaping C-suite strategies. At Games24x7, I spearheaded analytics-led interventions that directly impacted user engagement, retention, and revenue. By developing real-time churn prediction models and personalized retention strategies, I delivered a 6% uplift in Net Gaming Revenue and a 10% improvement in retention. My work in redesigning contest structures and loyalty programs based on behavioral insights drove higher ARPU and lifetime value while ensuring balanced monetization and user experience. Additionally, I built a statistical revenue forecasting model with 97% accuracy across 3B+ transactions, enabling dynamic budget allocation and ~₹40 Cr annual cost optimization. Previously at RedDoorz, I established the data analytics backbone to drive product, marketing, and supply-side growth across Southeast Asia. I implemented customer segmentation models, recommender systems, and predictive forecasting to improve conversion, retention, and inventory efficiency. My work in dynamic pricing and competitor intelligence using automated web scraping contributed to 22% growth in property acquisition and higher revenue per property. I also managed the company-wide BI infrastructure, streamlining data pipelines across BigQuery, transactional databases, and APIs, saving 1000+ hours monthly and ensuring reliable insights for leadership decisions. This combination of scaling gaming and consumer-tech ecosystems with advanced data science, ML-driven personalization, and BI transformation has equipped me with a unique lens on solving high-impact business problems through analytics.

Location

Bengaluru

Work experience

Associate Director at Vivriti NEXT, Nov 2025 - Present · 1 yr, Bengaluru

Senior Analytics Manager at Games24x7, Aug 2021 - Oct 2025 · 4 yrs 3 mos, Bengaluru, User Retention & Engagement • Developed a real-time churn prediction model with Catboost Classifier on 50M+ user-level features, reducing offer leakage and delivering 6% uplift in Net Gaming Revenue & 8% Improvement in series retention rate. • Applied Decision Tree modeling on deposits & gameplay data to identify high-value users, optimizing campaign costs and driving a 7% increase in Net Gaming Revenue. • Improved series retention rate by 10% through a retention probability model leveraging personalized cohorting, tailored communication, incentive optimization, specialized contests and 100% win guarantee. • Designed a data-driven VIP loyalty program by structuring tiered rewards (bonus, cashback, exclusive contests) and ran A/B tests to optimize benefits, directly contributing to 4% ARPU uplift and 10% retention improvement. • Optimized contest design through behavioral data analytics in SQL + Python, increasing contest join rate by 12%, boosting LTV by 6%, and generating 8% growth during IPL/World Cup. • Boosted ARPU by 8% by redesigning the contest leaderboard structure using user behavior analytics and segmentation to identify preference for shorter contest cycles and more appealing prize tiers, resulting in higher participation. Revenue Optimization & Forecasting • Built a statistical revenue forecasting model using Prophet in Python on 3B+ transactions, achieving 97% accuracy and enabling dynamic spend reallocation, resulting in ~₹40 Cr annual cost optimization. • Devised account balance optimization strategies to mitigate GST impact, resulting in a 10% increase in revenue-to-deposit (R/D) and 5% growth in net revenue while maintaining stable LTVs. Cost Efficiency & Automation • Achieved 95% campaign cost optimization by developing a one-click Databricks + Python dashboard (pandas, numpy, matplotlib, seaborn, statsmodels) integrating funnel KPIs (conversion, ARPU, retention, deposits), reducing manual reporting effort by 720+ hours per month.

Analytics Manager at RedDoorz, Aug 2018 - Aug 2021 · 3 yrs 1 mo, Noida Area, India, Data & Product Analytics • Developed an effective lead capturing model using CleverTap journeys and campaign features, improving conversion rate by 1.2% and reducing time-to-convert by 2 days. • Built Customer Segmentation Model based on RFM Parameters to create targeted loyalty programs, driving improved retention through personalized campaigns and user behavior insights. • Improved Supply Acquisitions by 22% using Selenium by scraping data from competitors to determine high-potential areas for acquiring properties. Data Science • Implemented recommender systems using collaborative filtering to recommend properties based on Prior Bookings, Location, Price, Reviews and Ratings, boosting conversion by 2.7%. • Discovered patterns of payment success rate using exploratory data analysis to detect when payment rates have fallen below a certain benchmark and sent alerts leading to increase in payment success rates by 8%. • Used FuzzyWuzzy Algorithm to predict keywords; Performed Sentimental Analysis using Logistics Regression and Word Frequency Algorithm to detect issues with the property based on text written for reviews. • Used PCA, K-mean and Hierarchical Clustering to cluster properties based on different attributes which include both external(location, price etc) and internal(amenities) to recommend similar properties. Data Management • Designed and implemented end-to-end ETL pipelines, integrating data from BigQuery, transactional databases, and third-party APIs, enabling seamless data availability for analytics and ML models • Automated data collection and reporting workflows using Python, R, Selenium, and cloud-based VMs (AWS & Google Cloud), saving 1000+ manual hours per month and improving reporting efficiency. • Built web scraping automation frameworks (Selenium, BeautifulSoup) for OTA reviews, property inventory, and competitor pricing, driving 10% growth in supply acquisition

Data Scientist at FreshoKartz Agri, Feb 2017 - Aug 2018 · 1 yr 7 mos

Alcheringa Public Relation Head at Alcheringa, IIT Guwahati, Feb 2011 - Apr 2013 · 2 yrs 3 mos, IIT Guwahati, ALCHERINGA : IIT Guwahati’s Annual Cultural Festival • Headed promotional activities across mediums ranging from TV, Radio, Newspapers, Magazines and web-sites thereby increasing the number of participants by 3x • Devised a new methodology of Alcheringa Representative for each college thereby increasing outreach to over 1,000 colleges, an increase of 2x over the previous year • Improved footfall of the festival to 40,000 through a feedback loop, and successfully managed the crowd without any chaos • Organized city auditions across the country and managed over 6,500 participants on campus; ranging from accommodation, food, transport and events • Increased user engagement through offline channels such as, posters & hoardings, and online channels such as, Facebook, Twitter and YouTube through social media marketing. • Focused on different social issues such as income inequality, gender discrimination & drug abuse in the form of events such as, Nukkad Natak to engage with students across the country

Education

Bachelor of Technology (B.Tech.), Chemical Engineering, Indian Institute of Technology, Guwahati

Higher Secondary Qualifications, Science, Mathematics, Vandana convent school