I'm an automated Python/SQL model builder — inventory diagnostics, supplier scorecards, and demand forecasts that turn chaotic operational data into decisions that cut cost and stockouts.
Eight end-to-end case studies applying Python, SQL, predictive modeling, and strategic frameworks to logistics, demand, supplier, and inventory challenges.
End-to-end diagnostic across 2,500 shipments, over carriers, zones, and routes. Used Pandas for cleaning and K-Means clustering to segment carrier performance — revealing a potential 15% cost-reduction lane.
Time-series forecasting for 20 SKUs across 24 months. Cleaned 14,620 rows of daily demand data and deployed interactive 3-month SMA models with MAPE calculated live on a held-out test split — no resume-bait hardcoded numbers.
Developed a supplier scorecard in Python and Power BI measuring cost variance, delivery consistency, and quality across 20 suppliers. Used as a benchmarking layer to surface vendor-renegotiation opportunities.
ABC-XYZ classification with differentiated turnover goals — 6–12x for Class A, 1–3x for Class C — plus reorder-point optimization and a strategic recommendations panel for action items.
A study comparing inventory performance across industries in India and the USA — turnover analysis and financial-impact sizing on working capital tied up by tier-one operators.
A multi-criteria supplier scoring model based on cost, lead time, and geopolitical risk for global Li-Ion cell vendors. The result: a defensible sourcing recommendation framework.
Integrated value-chain analysis from upstream to midstream to downstream, with competitive positioning and KPI benchmarking against global majors.
A 24-slide deep dive on India's pharmaceutical industry — growth drivers, competitive intensity, and end-to-end value chain mapping from API sourcing to formulations export.
Three deployed front-ends, with raw operational data turned into decision support — open any one in a new tab.
2,500 shipments and 14,620 demand records brought together in carrier scorecards, route cost analysis, and a 3-month SMA forecast.
Open ↗All quality metrics, on-time delivery KPIs, cost-variance trends, and risk scoring — presented in one supplier scorecard.
Open ↗A realistic 6–12x ABC-XYZ segmentation, optimization through reorder points, and a Strategic Recommendations action panel.
Open ↗I'm a practitioner in operations and analytics, solving supply chain problems by building models decision-makers can actually use.
Supply Chain Analyst
From demand forecasting to inventory optimization to supplier intelligence, my work centers on the three levers that quietly decide whether a supply chain costs too much or breaks at the wrong moment. I'm at my best when the data is jumbled, the question is nebulous, and someone needs a defensible answer by Friday.
I do a lot of work in Python (Pandas, NumPy, scikit-learn) and SQL, and present the findings in purpose-built front-ends — and, where it fits, Tableau or Power BI.
I hold certifications from Rutgers in Supply Chain Analytics and from Unilever in Supply Chain Data Analytics, and I'm doing a BBA at Manipal University Jaipur alongside it — combining theory with hands-on projects on real-world problems.
Outside the dashboards: I read research on procurement strategy, publish project work on SCData.ai, and keep a running list of supply chain failure modes that should never have made it past the planning stage.
Core competencies bridging data engineering, predictive modeling, and strategic research.
Logistics optimization, carrier benchmarking, route analysis, cost-per-kg modeling, OTD tracking.
SMA, WMA, exponential smoothing, seasonality decomposition, MAPE / RMSE accuracy diagnostics.
Vendor scorecards, multi-criteria selection (MCDM), risk assessment, quality KPI tracking.
ABC-XYZ classification, safety stock, reorder points, turnover analysis, stock-out prevention.
Analytics: Python (Pandas, NumPy), SQL, Excel.
BI: Tableau, Power BI.
Web: HTML, CSS, JavaScript, React.
Competitive intelligence mapping, value-chain diagnostics, and market-entry frameworks.
Real-world supply chain and analytics work across a family business and freelance client engagements.
Family-Owned E-Commerce Business, Hyderabad · Jan 2026 – Present
Coordinate procurement and inbound scheduling across 8+ active vendors; manage POs, lead times, and delivery performance to maintain 87% inventory accuracy. Monitor reorder points and safety stock levels to prevent stockouts; maintain procurement records and vendor documentation. Handle shipping coordination and last-mile delivery tracking across domestic corridors.
US-Based E-Commerce Retailer (Confidential), Remote · Jun – Sep 2025
Managed supplier relationships and procurement workflows across an India–US supply corridor; prioritized lead-time reliability with a limited global vendor pool.
DentOnly (Healthcare SaaS, UK), Remote · Oct – Dec 2025
Evaluated 300+ prospective clients using a multi-criteria scoring framework ranked by cost sensitivity, adoption likelihood, and retention likelihood. Maintained intelligence databases covering 500+ data points; delivered segmented reports informing account and sales-prioritization strategy.
Open for Supply Chain Analyst, Demand Planner, and Analytics roles — or a drink of coffee and a discussion about messy data.
Located in Hyderabad, open to Chennai and Remote.