Shrinivas D Vasala — AI Researcher

SUMMARY : • Data Science & AI leader with 15+ years of experience driving enterprise-wide AI transformation, architecting large-scale ML and GenAI solutions involving tera bytes of data and 500M+ users, and leading global data science organizations across consulting, OTT, ad-tech, and consumer tech. Known for establishing AI strategy, scaling ML platforms, building high-performing teams, and delivering measurable financial impact for Fortune 500 clients. • Expert in ML engineering, GenAI/LLMs, personalization, forecasting, optimization, and big data ecosystems. • Expert in customer analytics, growth analytics, product usage analytics, retention analytics, revenue intelligence, forecasting, and KPI governance at a scale of 500M+ users • Adept at influencing cross-functional and executive stakeholders, defining data strategy & governance, and driving adoption of AI-enabled decision intelligence across complex organizations. FLAGSHIP PRODUCT AI INITIATIVES: • Video Personalization Engine (300M+ users): Drove content discovery and 10% watch time lift. • Ad Response Prediction (400M+ users): Optimized CTR/CVR, boosting advertiser ROI by 5–30% across markets. • Personalized Marketing Automation Engine: Powered lifecycle journeys delivering 100M+ automated personalized notifications/day. • Risk Scoring & Dispute Reduction (FinTech): 20% fewer disputes, improved working capital, and faster decisioning. • Churn & Retention Intelligence (OTT & Consumer Apps): Enabled frequency increase for 400M+ users. • Cashflow Forecasting: ML platform powering global financial operations. • Real-time Experimentation: Multi-armed bandits for rapid, data-driven product iteration. • GenAI Automation: Crew AI-driven workflows reducing analytical effort and enabling faster product insights. TECHNICAL & PRODUCT ANALYTICS SKILLS: • Programming: Python, SQL, TensorFlow, Py Torch, Scikit-Learn, LLM/GenAI framework • ML Engineering: Spark, Hive, Hadoop, Presto, Redshift, Athena, Cassandra, HBase • Experimentation: Bandits, A/B testing, online learning • Product Analytics: Retention, Funnels, Cohorts, Attribution, LTV, Segmentation • Visualization: Power BI, Superset, Mix panel, Adobe Analytics

Stackforce AI infers this person is a Data Science and AI leader in Fintech and Ad Tech industries.

Location: Bengaluru, Karnataka, India

Experience: 15 yrs 6 mos

Skills

Data Science
Machine Learning

Career Highlights

Led AI transformation for Fortune 500 clients.
Drove 10% watch time lift for 300M+ users.
Achieved $25M+ monthly working capital improvement.

Work Experience

Accenture

Senior Principal Data Scientist (7 yrs 2 mos)

Hotstar

Data Scientist - Senior Manager (1 yr 9 mos)

Vserv.com

Data Scientist - Manager (2 yrs 9 mos)

Vizury Interactive

Data Scientist (1 yr 3 mos)

Directi

Researcher (2 yrs 6 mos)

Education

Graduate at Indian Institute of Technology, Bombay

Shrinivas D Vasala

AI Researcher

Bengaluru, Karnataka, India15 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI transformation for Fortune 500 clients.
Drove 10% watch time lift for 300M+ users.
Achieved $25M+ monthly working capital improvement.

Stackforce AI infers this person is a Data Science and AI leader in Fintech and Ad Tech industries.

Contact

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

A/B testing algorithmsAI strategyAdvertising TechnologiesAnalyticsBig Data AnalyticsBig Data ComputingBusiness DevelopmentCTR predictionCVR predictionCross-functional Team LeadershipCustomer RetentionData MiningDatabasesDigital AdvertisingGenAI frameworks

About

Experience

Accenture

Senior Principal Data Scientist

Jan 2019 – Present · 7 yrs 2 mos · Bengaluru Area, India · Hybrid

Own strategy, roadmap, execution, and client engagement for enterprise AI initiatives across finance, operations, and customer intelligence.
Lead a team of 5–10 data scientists delivering ML and GenAI products including credit risk scoring, cashflow forecasting, banking retention, video dubbing, product recommendation, customer retention etc
Delivered transformative business impact:
$25M+ monthly working capital improvement
30% reduction in overdue payments (60+ buckets)
10% increase in sales due to product recommendation and retention analytics
10% workforce optimization via automation
Designed and deployed GenAI (LLM’s, AI agents, RAG) & Agentic AI frameworks using LangChain/LLMs to automate analytical workflows, improving efficiency across finance operations.
Drive executive communication, governance, KPI alignment, and operationalization of AI products at scale.

AI strategyML productsGenAI frameworksKPI alignmentclient engagementData Science+1

Hotstar

Data Scientist - Senior Manager

Mar 2017 – Dec 2018 · 1 yr 9 mos · Mumbai Area, India · On-site

Directed ML strategy for India’s largest OTT platform; influenced product roadmap through advanced analytics.
Led an 8-member team building personalization engines, targeting intelligence, and engagement optimizers.
Key product launches:
Recommendation Engine: 10% improvement in watch time
Ad Targeting Models: 20% ROI uplift for advertisers
Marketing Automation: 100M+ daily notifications
Retention Intelligence: Funnel, cohort, and frequency insights guiding product decisions
Market Mix Models: Reduced acquisition inefficiencies
Partnered with product, growth, and content teams to optimize engagement and revenue.

ML strategypersonalization enginesad targeting modelsmarketing automationretention intelligenceData Science+1

Vserv.com

Data Scientist - Manager

May 2014 – Feb 2017 · 2 yrs 9 mos · Mumbai · On-site

Vserv is a leading mobile ad exchange in India and emerging markets with a reach of 100M+ users serving billions of ads requests every month.
Worked collaboratively with senior management to develop strategy and approach to solve business challenges using data science.
Managed a team of 7 data scientists and built large scale machine learning systems for response (click/conversion) prediction, demographic (gender/age) prediction using Python, MySQL and Cassandra.
Worked with ad operations team to categorize large number of web pages and mobile apps to build ML models.
Most of these projects led to 5% to 30% improvement across key metrics like click through rates, conversion rates, revenue per ad etc

data sciencemachine learning systemsresponse predictiondemographic predictionData ScienceMachine Learning

Vizury interactive

Data Scientist

Jan 2013 – Apr 2014 · 1 yr 3 mos · Bangalore · On-site

Vizury is a leading retargeting company in India and emerging markets serving millions of ad requests per month.
Built large scale RTB bidding systems by implementing logistic regression, p_id controllers for revenue optimization using sklearn, python, hive & pig.
Built large scale CTR, CVR prediction system using naive bayes, logistic regression, random forest models.
Built algorithms to meet advertisers eCPA goals despite they are paying us on eCPC metrics.
Some of these deployments have led to 5% to 10% improvement in key metrics like click through rates, conversion rates and revenue per ad etc

RTB bidding systemslogistic regressionCTR predictionCVR predictionData ScienceMachine Learning

Directi

Researcher

Jun 2010 – Dec 2012 · 2 yrs 6 mos · Mumbai

I was a key member of contextual advertising research team.
Doing internet research for Media.net (a Directi business unit). Developed thorough understanding of revenue optimization and A/B testing algorithms and implemented the same in R. Few of the algorithms had 50% revenue lift across the system.
Also built keyword cleaning and best keyword detection algorithm for a given keywords in Java and run it on million of keywords. It lead to 10% revenue lift across the system.

contextual advertisingrevenue optimizationA/B testing algorithmsData ScienceMachine Learning