Resume | Shubham Gambhire

Experience

Aug 2026 to Sep 2026

Live Project: Tariff, Duty & Trade Scenario Optimizer

Built a sourcing prototype for 30 synthetic SKUs across four countries using spend analysis, landed cost and country of origin.
Ranked trade options via Section 301 and USMCA scenario analysis with weighted cost, risk, resilience and feasibility scores.
Integrated model-agnostic GenAI for tariff parsing and output explanations with human-approval gates and guardrails.
Estimated $9.85M annual savings potential in 27 of 30 synthetic SKUs via sourcing diversification and risk mitigation.

Apr 2026 to May 2026

Summer Intern: Digital Supply Chain & Procurement

Mapped AS-IS Procure-to-Pay (P2P) across purchase requisition, RFQ, TCO, PO and freight forwarder expediting for a Fortune 500 US hospitality cruise client.
Built a 3-criterion MCDM scorecard using DEMATEL-derived weights from 4 buyers' criterion-influence assessments, and segmented 30+ suppliers into four risk tiers by OTD, single-source dependency and priority.
Calculated Scope 3 emissions from multimodal supplier freight using GLEC for carbon scoring and sustainable sourcing.
Flagged approximately 30% of scored suppliers as high or critical risk, including 7 single-source suppliers, and received commendation from TCS senior leadership for the risk assessment and sourcing evaluation recommendations.
Modeled F&B demand drivers on 3-year historical data via OLS regression and examined 7 replenishment approaches using consumption variability and port-call cycles.
Recommended JIT-aligned (s, S) replenishment at port calls with 85-99% service-level targets, simulating a 96% F&B unit fill rate versus a 92% baseline and proposing policy integration in Oracle Fusion SCM.

Feb 2026 to Mar 2026

Live Project: Warehouse Operations Analysis

Applied ABC-XYZ and Pareto analysis to 6-month sales data; FSN analysis on 518 SKUs informed inventory slotting.
Assessed supplier-wise GRN volumes and timestamps to identify inbound workload variability and congestion risks.
Identified 2 picking workload peaks from invoice-release patterns to guide capacity planning for contract staffing.
Quantified 30.8% unpicked cases in a one-day picklist and linked customer caps to order fulfillment constraints via root cause analysis.

Jun 2024 to Oct 2024

Site Planning Intern: Material & Construction Operations

Streamlined inventory by cutting buffer stock by 10% with MRP alignment and lead time based replenishment planning.
Reduced schedule deviation by 8% by analyzing output among 50+ laborers using histograms for resource planning.
Audited dispatch slips against PO line items across three sites, ensuring 100% fulfillment of orders and zero variance.

Jul 2023 to Mar 2024

B.E. Project: Highway Interchange Efficiency using Python and Game-Based Simulation

Achieved 98.47% accuracy of simulated traffic flow against real traffic data using lane use and dwell time metrics.
Automated vehicle detection using the YOLOv3 algorithm in Python to analyze traffic flow from simulation recordings.

2025 to 2027

MBA: Operations & Supply Chain Management, CGPA 7.93/10

2021 to 2024

B.E. Civil Engineering, 78.20%

2018 to 2021

Diploma, 62.93%

2023

Led a 17-member team while spearheading the promotion of Technovision 2K23.
Initiated promotional campaigns, driving 20% footfall growth over the previous year.

2022

Represented 70+ students as elected class representative, voicing student interests in departmental decisions.
Resolved academic issues and streamlined exam and schedule coordination with the faculty.

Led the team to the Top 12 national finals of the Kearney case competition among 600+ teams and 2K+ participants (2026).
Presented research on a low-cost Python and game-based simulation alternative for traffic analysis at a conference (2024).
Ranked 2nd out of 170+ students in the final year of B.E., earning letters of recommendation from the HOD and Assistant Professor (2024).