Work That
Shipped
Each project began with a real operational problem. Each ended with a system that replaced guesswork with data, manual effort with automation, and lag with real-time visibility.
Smart Irrigation & Inventory Analytics System
Engineered a real-time analytics platform connecting embedded IoT sensor data to business decision layers. The system processed field-level moisture, weather, and crop-demand inputs to dynamically optimize irrigation scheduling and inventory replenishment cycles — replacing reactive, experience-driven decisions with quantitative, data-backed execution. Measurably improved planning efficiency and resource utilization across the farm's operational footprint.
OUTCOME: Automated irrigation decision cycles and reduced inventory planning lag through predictive analytics integration.
Industrial Operations Analysis — Parle Products
Conducted a deep-dive process mapping and supply chain analysis engagement for Parle, one of India's largest FMCG manufacturers. Systematically mapped manufacturing workflows from raw material intake to finished goods dispatch — identifying structural inefficiencies, capacity misalignments, and SCM friction points. Delivered a comprehensive report of actionable operational insights grounded in process analysis and supply chain best practices, ready for implementation planning.
OUTCOME: Structured findings across production, logistics, and inventory functions delivered as an actionable operations improvement report.
Centralized MIS Reporting Ecosystem — JBM Group
Designed, architected, and deployed a centralized Management Information System from scratch at JBM Group — replacing a fragmented, spreadsheet-driven reporting culture with a unified, automated intelligence layer. Built SOPs for data governance, variance tracking, and operational KPI monitoring. The result was a 30–40% reduction in reporting TAT and a fundamental shift in how operational decisions were made: from weekly retrospectives to real-time, evidence-based action.
OUTCOME: 30–40% faster reporting turnaround. Zero manual dependency on ad-hoc data collection across core operational functions.
IAM Framework & Agri-SCM Analytics — PhyFarm
Deployed an Identity and Access Management system securing 347+ distributed IoT farm devices — hardening the infrastructure layer of a precision agriculture supply chain. In parallel, built analytics dashboards connecting field data to procurement and logistics decisions, improving demand forecasting accuracy by 6%. The engagement demonstrated that robust infrastructure security and supply chain intelligence are two sides of the same coin in IoT-enabled operations.
OUTCOME: 347 IoT devices secured. Forecasting accuracy improved by 6%. Supply chain visibility elevated across the farm-to-market pipeline.
Deal Governance & Pricing Control Framework — RAK Ceramics India
RAK Ceramics India's project-based sales channel — spanning DC 31 (dealer-led) and DC 32 (direct developer) distribution codes — lacked a formalised commercial control structure. Discount approvals were unstructured, margin computation was inconsistent, and SLA enforcement was absent across deal cycles. The result was measurable commercial leakage and a governance gap in high-value B2B construction material transactions.
I designed and implemented a structured deal governance framework that formalised a three-tier approval authority matrix — Deal Desk, PM Head, and CEO — calibrated against Net Sales Realization-based margin thresholds specific to Tiles and Bathware product lines. The framework operationalised the full pricing waterfall from List Price through Overriding Commission deduction to NSR, enforcing five governing rules on ORC computation, NEF derivation, and margin basis discipline.
SLA targets of 6, 24, and 48 business hours were assigned by approval tier, supported by structured escalation triggers, quote versioning controls, and a 30-day PO receipt governance cycle. At the deal level, the framework captures competitive intelligence — enabling state-wise pricing analysis and dealer performance evaluation through structured scorecards. A Firestore-backed web platform enforces the framework in real time, fully replacing manual email approval chains with an auditable, structured workflow.
OUTCOME: Three-tier approval authority formalised across DC 31 & DC 32. SLA enforcement (6 / 24 / 48 hrs) with structured escalation triggers. Firestore-backed deal tracking platform replaced manual email workflows — eliminating commercial leakage, enforcing margin discipline, and enabling state-wise competitive intelligence capture.
PLATFORM BUILT
Web-based deal management interface with Firestore backend. Real-time approval routing, quote versioning, escalation tracking, and dealer scorecard generation — fully replacing ad-hoc email workflows with an auditable, structured commercial control system.
How I Work
Diagnose
Map the process. Identify the gap between current state and desired outcome. Quantify what's being lost — time, capacity, margin, or governance control.
Architect
Design the system — whether it's a governance framework, an MIS dashboard, or an IoT analytics layer — that closes the gap at scale and enforces at every node.
Validate
Let the numbers confirm the outcome. Reporting reduction, OEE improvement, SLA compliance — the metrics tell the story.