Eight years of supervised ML — classification, regression, gradient boosting, time-series — now layered with agentic LLM workflows for marketing co-pilots and insight generation.
Multi-touch attribution, incrementality testing and campaign measurement — turning click-streams and spend into honest ROI.
Designing the MarTech stack so the analytics layer doesn’t collapse under its own weight — tagging spec, CDP, event lake, semantic model.
Adobe Analytics certified expert. Campaign scorecards, funnel dashboards and exec narratives across digital, customer and supply chain.
Python & PySpark for the heavy lifting; SQL for everything underneath; cloud-native deployments across the three majors with CI/CD discipline.
Marketing & campaign measurement, digital & product analytics, customer journeys, eCommerce & retail, supply chain, sales & operations.
Leading analytics teams that power smarter marketing strategies, elevate digital experiences and deliver measurable revenue impact. Defining the agentic AI roadmap for marketing.
Promoted in 2 months. Led analytics workstreams across digital, customer and product, partnering directly with brand & product managers on roadmap.
Helped eCommerce retail clients make informed decisions through digital transformation — web, customer, sales & ops, retail analytics.
Built ML & forecasting systems on traffic and pavement data.
Power BI dashboards on traffic sensor data, MS-Access stewardship, hypothesis testing & ANOVA on experimental data.
Re-architected certificate issuance integrated with the student database. Reduced lead time from 5 business days to 1.
M.S., Industrial Engineering
B.Tech, Mechanical Engineering
A conversational agent that turns plain-English questions from marketers (“why did paid social CTR drop last week?”) into Adobe Analytics workspaces, anomaly explanations and exec-ready campaign summaries. Tool-calling LLM orchestrator with a custom RAG over tagging specs, measurement plans & campaign briefs.
Causal multi-touch attribution across paid search, paid social, display, email & organic — validated with incrementality holdouts. Re-allocated spend with a defensible expected ROI lift.
Behavioural + RFM clustering joined with a propensity model to power next-best-offer in email & on-site personalization. Lifted conversion on the targeted segment double-digits.
Re-architected disparate web, CRM, email and transactional feeds into a governed event lake with a semantic layer — one definition of “active customer” across six squads and every campaign report.
Hierarchical forecasting plus uplift modelling for B2B price promotions. Identifies the right SKUs and the right customers — jointly — so campaign dollars are spent where they actually move volume.
Templated measurement plans plus a linter that validates implementation against the spec at PR time. Materially reduced campaign-launch defects and kept attribution honest.