Translating business needs into platform solutions — through analytics, automation, and cross-functional delivery.
Analytics and enterprise automation professional with a track record of translating cross-functional business requirements into scalable platform solutions — across supply chain, procurement, and higher education environments. Experienced in end-to-end solution delivery from requirements intake and stakeholder coordination through UAT and platform adoption.
Currently at Somfy Systems Inc. as a Supply Chain Planner & Analyst — engineering Power Automate workflows, building SAP-integrated analytics infrastructure, and coordinating across procurement, product management, and operations to drive platform adoption and supply chain performance.
Before that, 3+ years at State Bank of India managing CRM-based customer targeting workflows across 43 branches — coordinating an 11-member cross-functional team to deliver data-driven sales initiatives at scale. The throughline: solutions that stakeholders actually adopt.
intake · coordination · governance · adoption
dashboards · reporting · ETL
modeling · forecasting · analytics
ERP · automation · integration
building faster with LLMs in the loop
Manage multi-supplier portfolio executing biweekly procurement cycles, partnering with C-suite on sourcing strategies and new product launches. Engineered Power Automate workflow for New Product Launch driving end-to-end platform adoption across procurement, product management, and operations. Built Excel-Power Query analytics infrastructure synthesizing 100K+ SAP data points for real-time inventory visibility, reducing manual processing by 75%.
Led requirements gathering and solution delivery for enterprise PowerApps procurement workflow; coordinated with IT partners on SharePoint integration and validated functionality against stakeholder acceptance criteria, reducing approval cycle time by 40%. Built self-service Power BI analytics enabling non-technical users to independently explore spend data across 50+ departments.
Served as primary client liaison across 11 organizations — led discovery sessions and translated business goals into prioritized analytics deliverables. Identified process inefficiencies and proposed governance improvements across procurement operations; presented workflow recommendations directly to client executives.
Investigated maternal and child health disparities using statistical analysis across multiple demographics. Developed an interactive geo-demographic dashboard enabling stakeholders to explore complex multi-variable healthcare datasets and derive actionable insights.
Supported end-to-end supply chain and retail operations for a family-owned FMCG/general merchandise business, gaining hands-on exposure across procurement, inventory management, and vendor coordination.
Managed CRM-based customer targeting platform workflows across 43 branches, coordinating an 11-member cross-functional team to deliver data-driven sales initiatives — achieving 202% increase in portfolio targets. Built Tableau dashboards and scorecards analyzing 15M+ data points; led process improvement initiative reducing loan cycle time by 30%.
Predictive pricing models for Bettaway Logistics using a dual-model strategy — one tuned for stable market conditions, another for disruptive ones. Combined R, Python, and forecasting workflows with a focus on deployment-ready accuracy.
Three years of NYC taxi data analyzed with SQL, regression, and geospatial methods to quantify COVID-19 impact on demand. Time-series forecasting for resource and capacity planning, visualized in Power BI.
Awarded for outstanding academic excellence in Logistics & Supply Chain Management, PGDM program.
Inducted into the International Business Honor Society for top 10% academic performance at an AACSB-accredited institution.
Recipient of the Center of Excellence Award and Scholarship at Rutgers Business School.
Scholarship recipient for demonstrated excellence in international commerce & supply chain studies.
Consistent top academic standing throughout the PGDM program in Logistics & Supply Chain Management.
Perfect 4.0 / 4.0 GPA in the STEM-designated M.S. Supply Chain Analytics program at Rutgers Business School.