I turn complex data into clear decisions. From prescriptive models to executive dashboards — I'm the analyst leadership actually listens to.
Analytics Lead
CoStar Group
I'm a Senior Data, Business Intelligence & Marketing Analytics professional with 7+ years of experience turning complex datasets into decisions that business leaders actually act on.
My technical work spans multi-touch attribution, prescriptive modeling, KPI reporting, mix modeling, incrementality testing, causal inference, and ML-powered propensity scoring. My BI work covers end-to-end dashboard ecosystems in Power BI and GA4, built for self-serve adoption across teams.
But what I'm best known for is the part that's hardest to automate: translating rigorous analysis into a clear story that earns trust in the room.
I'm currently targeting senior Marketing Science, Analytics, and BI roles where the expectation is not just to report the numbers — but to shape decisions.
Years in Analytics
Measurement Frameworks
ML Models Shipped
BI Ecosystems Delivered
CoStar Group (LoopNet)
CoStar Group (LoopNet)
CoStar Group
Chemours Company
Infosys Ltd.
Vuclip
University of North Carolina
Specialization in Data Science
University of Mumbai
ML & Predictive Analytics
Built an end-to-end propensity scoring engine on a complex synthetic 185K-row multi-table B2B SaaS dataset. Random Forest selected over XGBoost and LightGBM on AUC-PR (0.444) for imbalanced targets. SHAP explainability surfaces that product breadth and integration depth are the strongest conversion drivers. Hot-tier accounts (top 25%) convert at 80.6% vs. 26.5% baseline — a 3× lift that directly reduces AE cost-per-deal.
ML & Predictive Analytics
Combined binary churn classification with Kaplan-Meier survival curves and Cox Proportional Hazards modelling to predict both who will churn and when — enabling proactive retention interventions timed to individual customer risk windows.
Marketing Measurement Science
Designed a matched-market geo-lift testing system to measure the true incrementality of digital campaigns, moving attribution beyond last-click to causal measurement using synthetic control and permutation testing.
Data Storytelling & BI
Built an end-to-end funnel analysis from anonymous to authenticated user journeys, packaged as a stakeholder-ready narrative report that directly informed product and marketing strategy.
Financial Analytics
Built a segment-level CAC/LTV model decomposing acquisition cost across channels and computing cohort-based LTV — surfacing which customer segments are structurally profitable and which are subsidised by blended averages.
Business Intelligence & Reporting
Designed and delivered a suite of executive-facing dashboards replacing weekly ad hoc reporting — enabling self-serve analytics adoption across marketing and sales leadership and reducing analyst ad hoc load by 60%.
Experimentation & Causal Inference
Built a reusable experimentation framework with pre-experiment power calculation, sequential testing guardrails, and Bayesian updating — standardising how the organisation runs and interprets product and marketing experiments.
Customer & Market Intelligence
Applied RFM + behavioural clustering to segment 10,000+ customers into 6 actionable personas — defining the Ideal Customer Profile (ICP) that informed territory design, outbound targeting, and product roadmap prioritisation.
18 projects across 7 analytics domains
ML & AI · Marketing · Product · Sales · BI & Finance · Experimentation · Customer
Last-touch attribution feels intuitive — give credit to the channel that closed the deal. But this logic systematically misfires, and your budget decisions are paying the price.
Most dashboards are built to impress, not to inform. Here is a framework for designing executive-facing analytics that drives decisions rather than gathering dust.