Senior Data Scientist II @ Hewlett Packard Enterprise · 10+ Years in Data Science & AI
I design and deploy end-to-end ML systems, AI-powered SaaS products, and marketing analytics platforms — turning complex data into clear business decisions at scale.
📍 Bangalore, India
Over 10 years in data science, I've evolved from building dashboards and running A/B tests to architecting multi-agent AI platforms and leading data strategy for enterprise marketing teams. Today I sit at the intersection of machine learning, marketing analytics, and AI product development — building systems where AI agents do the heavy lifting and humans make better decisions.
My philosophy: the best model is the one that ships, scales, and delivers value.
I share what I learn through my content channels — follow @datamavericks for data science insights and @Venkatabuilds for the building journey.
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Senior Data Scientist II · Hewlett Packard Enterprise · May 2023 – Present Leading projects in Marketing Analytics & Operations Governance at HPE — driving data-driven decision-making, building end-to-end Power BI dashboards for real-time stakeholder insights, managing data pipelines & automation, and spearheading data engineering for migration and acquisition projects. Standardized marketing data governance across teams and automated reporting workflows to cut manual effort significantly. |
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Analyst – Marketing Analytics · Empower Retirement · Oct 2021 – May 2023 Optimized Tableau dashboards — reducing data analysis time by 30% and boosting dashboard usage by 50%. Built a dynamic PCAP calculator tracker that improved traffic tracking by 40% and cut report prep time by 60%. Implemented marketing channel dashboards to identify top-performing channels for qualified leads. |
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Senior Data Analyst · Intelliswift (An LTTS Company) · Aug 2020 – Oct 2021 Conducted A/B tests that drove a $500K revenue increase. Managed terabytes of clickstream data using Hive and BigQuery. Led analytics for Voice Search and Dimensional Search Analysis projects, and mentored new team members on KPI generation from database insights. |
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Full-stack AI-powered marketing analytics platform with multi-agent architecture (LangGraph), automated PDF reports, and unified data from GA4, Meta Ads & Google Ads. Features SSE streaming chat, Stripe/Razorpay payments, and Redis caching.
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AI platform that automatically monitors competitors across websites, news, job postings, reviews & social media — then synthesizes signals into scored insights and strategic briefings. Built with a 6-agent LangGraph pipeline, Celery workers, and Terraform-managed AWS infra.
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A growing collection of Python and machine learning programs — covering core logic, algorithms, and hands-on ML implementations. Built as a teaching and reference resource.
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End-to-end pipeline for taking ML models from notebooks to production. Covers CI/CD, testing, packaging, and deployment patterns used in real-world systems.
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📌 Explore more in my pinned repositories
Languages & Core
ML & AI
Data & Visualization
Analytics & Marketing
Platform & Infra
- 10+ years turning business problems into production data solutions — from startups to enterprise (HPE)
- Led marketing analytics & data governance for a Fortune 500, building Power BI dashboards and automated data pipelines
- Building AI-native SaaS products with multi-agent architectures (LangGraph + Claude) on nights & weekends
- Deep expertise in A/B testing, campaign optimization, clickstream analytics, and marketing ROI measurement
- Full-stack capability — from ML pipelines to Next.js dashboards to Terraform-managed AWS infra
- Passionate about mentoring and sharing knowledge through open source and content creation
Building something with AI? Need a senior data science perspective? I'm always open to collaborating on impactful projects, discussing ML architecture, or mentoring the next generation of data scientists.
💼 LinkedIn · 🐦 X / Twitter · 📸 Instagram