Joined as a Business Analyst and grew into leading the analytics function as the company scaled — now leading a team of 3 (2 Data Analysts, 1 Business Analyst) plus cross-functional partners, owning BI across 500+ land-based locations and an iGaming arm processing over $800M in annual bet volume.
Drove game-economy and revenue-optimization strategy using Taguchi DOE, K-means clustering, multiple regression, and Monte Carlo simulation; data-driven tuning of RTP, volatility, and player experience lifted Gross Gaming Revenue 19% and player retention 11%.
Built an ensemble revenue-forecasting pipeline (Holt-Winters, blended-growth, YTD-anchored) with backtested accuracy (MAPE) and confidence bands, and led actuals-vs-forecast variance and bridge analysis to guide executive forecast revisions.
Engineered custom Model Context Protocol (MCP) servers in Python/JS integrating Claude with SQL, Oracle, and Jira, automating reporting workflows and reclaiming ~20 analyst hours per week.
Architected a scalable Microsoft Fabric environment with Copilot in Power BI, directing pipeline requirements in partnership with a senior backend developer to build the capacity infrastructure that accelerated automated insight generation across the business.
Set analytical standards across the team and translated complex analysis into board-ready decisions leadership can act on in under a minute, partnering directly with the CEO, CTO, and VP of Sales & Product.
Oct 2022 — May 2024
Mississauga, Canada
Camden Door Controls
Business Intelligence Specialist
Hired on the product development team to write product manuals and assembly/QC SOPs, then progressively built out the company's product-data and inventory systems.
Built Excel/VBA tools to automate product-number assignment and BOM entry, removing a slow, error-prone manual step.
Set up QA/QC tracking sheets and inventory monitoring for the assembly floor, giving teams clear visibility into stock on hand, used, and refilled.
Introduced barcode scanning to log inventory movements into CSV records feeding live Power BI dashboards, replacing manual spreadsheets with real-time visibility.
Led the Civil Engineering expert team (in-house experts plus 100+ freelancers) handling 500+ student questions a day, tracking intake, acceptance and rejection rates, and rejection categories to maintain quality and volume.
Selected to launch Bartleby Live Chat and ran it end to end, scaling it from 30 to over 1,000 questions a day in six months across all subjects, with a network of 50+ vendor experts and 8 in-house experts plus the QC team.
Designed the operating KPIs (inflow rate, average session length, rejection rate, SME availability, QC score) and used inflow data to plan SME shifts.
Built the Power BI reporting and presented it weekly to US leadership; authored the official Live Chat SME playbook used to train and QC the full expert network.
Sep 2014 — Oct 2019
Rajkot, India
Marwadi University
Assistant Professor and Subject Matter Expert
Provided statistical and experimental-design consulting (Taguchi, regression) — the same methods now applied to revenue and game-economy modeling.
Taught engineering coursework and managed academic cohorts; research in this period produced a granted patent (Indian Patent No. 396605) and the PhD thesis on alkali-activated concrete optimization via the Taguchi method.