Open to Supply Chain & Analytics Roles

Supply Chain Analytics
& Demand Planning

I build automated forecasting models, inventory diagnostics, and supplier scorecards in Python and SQL — turning messy operational data into decisions that cut cost and stockouts.

82%Forecast Accuracy
18%Logistics Cost Cut
25K+Rows Modeled
8Case Studies
Portfolio

Featured Projects

Eight end-to-end case studies applying Python, SQL, predictive modeling, and strategic frameworks to logistics, demand, supplier, and inventory challenges.

Operations Platform

Logistics Command Center

End-to-end diagnostic on 2,500 shipments across carriers, zones, and routes. Used Pandas for cleaning and K-Means clustering to segment carrier performance by OTD — surfaced an estimated 15% cost-reduction lane.

PythonPandasK-MeansSQL
Open Live Dashboard
Predictive Analytics

SKU Demand Forecasting

Time-series forecasting across 20 SKUs over 24 months. Cleaned 14,620 daily demand rows and deployed interactive 3-month SMA models with MAPE computed live from a held-out test split — no resume-bait hardcoded numbers.

PythonTime-SeriesSMA / WMAMAPE
Open Live Dashboard
Supplier Intelligence

Supplier Performance Dashboard

Supplier scorecard built on SQL aggregations evaluating cost variance, delivery reliability, and quality. Used as a benchmarking layer to drive 98% compliance and surface vendor-renegotiation opportunities.

SQLKPIsBenchmarkingPython
Open Live Dashboard
Inventory Strategy

Inventory Analytics Dashboard

ABC-XYZ classification driving differentiated turnover targets — 6–12x for Class A, 1–3x for Class C — with reorder-point optimization and a strategic recommendations panel for action items.

PythonABC-XYZReorder PtTableau
Open Live Dashboard
Cross-Country Benchmarking

Inventory Analytics — India vs USA

Diagnostic study comparing inventory performance across industries in India and the USA. Trend analysis on turnover and DIO, with financial-impact sizing on working capital tied up by tier-one operators.

BenchmarkingDIO / TurnoverWorking Capital
View on SCData.ai
Market Intelligence

Global Sourcing — Tesla Li-Ion Cells

Multi-criteria supplier scoring model evaluating cost, lead time, and geopolitical risk across global Li-Ion cell vendors. Output: a defensible sourcing recommendation framework.

SourcingBenchmarkingMCDM
View on SCData.ai
Academic Research

India's Oil & Gas — Enterprise Diagnosis

Integrated value-chain analysis spanning upstream, midstream, and downstream operations with competitive positioning and KPI benchmarking against global majors.

Value ChainStrategyKPIs
View on SCData.ai
Industry Analysis

Indian Pharma — 2026 Outlook

24-slide deep dive on India's pharmaceutical sector covering growth and risk drivers, competitive intensity, and end-to-end value chain mapping from API sourcing to formulations export.

Industry AnalysisValue ChainRisk Modeling
View on SCData.ai
Interactive

Live Dashboards

Three deployed front-ends turning raw operational data into decision support — open any one in a new tab.

📦

Logistics & Demand

2,500 shipments and 14,620 demand records unified into carrier scorecards, route cost analysis, and a 3-month SMA forecast.

Open
🏭

Supplier Performance

Quality metrics, on-time delivery KPIs, cost-variance trends, and risk scoring — combined into a single supplier scorecard.

Open
📊

Inventory Analytics

ABC-XYZ segmentation with realistic 6–12x Class A turnover, reorder-point optimization, and a Strategic Recommendations action panel.

Open
About

A bit about me

I work at the intersection of operations and analytics — translating supply chain problems into models that decision-makers can actually use.

Tarak — Tamarai Selvan

Tarak · Tamarai Selvan

Supply Chain Analyst

FocusDemand & Logistics
StackPython · SQL · BI
EducationBBA · Manipal University
Status● Open to roles

My work spans demand forecasting, inventory optimization, and supplier intelligence — the three levers that quietly decide whether a supply chain costs too much or breaks at the wrong moment. I'm most useful when the data is messy, the question is fuzzy, and someone needs a defensible answer by Friday.

I lean on Python (Pandas, NumPy, scikit-learn) and SQL for the heavy lifting, then surface results in Tableau, Power BI, or — as on this site — purpose-built front-ends so the analysis stays accessible after the slide deck closes.

I hold certifications in Supply Chain Analytics (Rutgers) and Supply Chain Data Analytics (Unilever), and I'm currently completing a BBA from Manipal University Jaipur. These combined with hands-on projects are how I bridge theory and real operational problems.

Outside the dashboards: I read research on procurement strategy, write up case studies on SCData.ai, and keep a running list of supply chain failure modes that should never have made it past the planning phase.

Capabilities

Technical Skills

Core competencies bridging data engineering, predictive modeling, and strategic research.

📦

Supply Chain Analytics

Logistics optimization, carrier benchmarking, route analysis, cost-per-kg modeling, OTD tracking.

📈

Demand Forecasting

SMA, WMA, exponential smoothing, seasonality decomposition, MAPE / RMSE accuracy diagnostics.

🏭

Supplier Management

Vendor scorecards, multi-criteria selection (MCDM), risk assessment, quality KPI tracking.

📊

Inventory Optimization

ABC-XYZ classification, safety stock, reorder points, turnover analysis, stock-out prevention.

💻

Technical Stack

Analytics: Python (Pandas, NumPy), SQL, Excel (pivot tables, solver, scenario analysis).
BI: Tableau, Power BI.

🤝

Procurement & Sourcing

RFQ management, multi-criteria vendor evaluation, cost negotiation basics, supplier risk assessment, and sourcing strategy frameworks.

🔍

Strategic Research

Competitive intelligence mapping, value-chain diagnostics, and market-entry frameworks.

Client Work

Professional Experience

Real-world supply chain and analytics work delivered for clients across markets.

DentOnly
Healthcare SaaS · UK Market · Oct–Nov 2025 · Freelance

Conducted supply chain and market intelligence research for a UK-based SaaS platform serving dental practices. Mapped vendor and procurement decision patterns across 300+ dental clinics — evaluating software adoption readiness, operational workflows, and switching barriers. Delivered a segmented intelligence report used to sharpen go-to-market targeting and vendor outreach strategy. Applied multi-criteria scoring to rank market segments by adoption likelihood and cost sensitivity.

Market Intelligence Vendor Analysis Procurement Research Python Excel
US-Based E-Commerce Retailer
Retail · Cross-border India–US · 2025 · Freelance

Designed and implemented end-to-end supply chain systems for a US retail business operating cross-border inventory between India and the US. Led transition from push-based to pull-based replenishment — eliminating dead stock while maintaining delivery timelines. Built a multi-variable demand forecasting model covering seasonality, inflation, promotional lift, and customer retention. Implemented live logistics tracking across the India–US corridor and managed supplier relationships with a limited vendor pool, prioritising lead-time reliability and procurement continuity.

Demand Forecasting Inventory Optimization Procurement Supplier Management Logistics Tracking Python
Social Proof

What Clients Say

Feedback from founders and teams I've worked with.

"

Tamarai provided sharp analytical clarity on a complex compliance challenge for our product. His research helped us identify a legally viable path to launch our platform. Highly recommend his work.

A
Anandhu
Founder, Trade Canify · FinTech
Get in touch

Let's build something useful.

Open to Supply Chain Analyst, Demand Planner, and Analytics roles — or a coffee chat about messy data.