Eshank Sehgal

About Eshank Sehgal

MBA-credentialed Data Analytics Leader with ASQ Six Sigma Black Belt certification, driving $20M+ measurable business value through advanced analytics, machine learning implementation, and large-scale data transformations. EXPERTISE HIGHLIGHTS:• Led data modernization projects supporting $6B+ P&L operations at Fortune 50 company• Developed predictive ML models achieving 80% accuracy in supply chain optimization• Automated critical business processes, saving 10-15 hours weekly through intelligent solutions• Migrated enterprise systems (SQL Server → BigQuery) with 10x performance improvements• Managed end-to-end ETL pipelines integrating fragmented data across multiple platforms UNIQUE VALUE PROPOSITION:Rare combination of MBA business acumen + ASQ Six Sigma Black Belt process expertise + advanced technical skills in Python, SQL, BigQuery, and machine learning. Proven ability to translate complex data challenges into actionable business strategies that drive measurable organizational impact. RECENT ACHIEVEMENTS: Engineered CIM Analytics solution consolidating carrier invoice data across multiple modules Spearheaded DTS data modernization with enhanced granularity and real-time analytics Created automated Crown Bolt tracking system eliminating manual processes Built predictive models supporting $6.5M+ annual cost avoidance Led Six Sigma consulting projects delivering $1M+ client savings TECHNICAL STACK:Programming: Python, SQL, R | Cloud: Google BigQuery, GCP, Dataform | BI: Tableau, PowerBI | Automation: Power Automate, ETL Pipelines | Analytics: Machine Learning, Predictive Modeling, Statistical AnalysisReady to drive data-driven transformation and measurable business impact in senior analytics or management roles. Open to connecting with fellow analytics professionals and exploring strategic opportunities.#DataAnalytics #MachineLearning #BusinessIntelligence #SixSigma #MBA #BigQuery #Python #Analytics

Experience

1. Senior Data Analyst

   The Home Depot

   Apr 2024 — Present · Atlanta, GA, US

   Leading high-impact data analytics initiatives supporting $6B+ transportation and logistics P&L operations KEY ACCOMPLISHMENTS: DATA MODERNIZATION LEADERSHIP• Spearheaded DTS (Direct-to-Store) system migration from SQL Server to BigQuery, enhancing data granularity to PO/SKU/day level and achieving 10x query performance improvement• Engineered comprehensive data pipeline architecture supporting real-time P&L analytics and executive reporting🤖 AUTOMATION & PROCESS OPTIMIZATION • Developed automated Crown Bolt tracking system using Power Automate, Python, and BigQuery, eliminating 10-15 hours of weekly manual work while enabling daily container visibility• Created intelligent invoice auditing scripts, streamlining financial processes and improving accuracy by 95%🧠 MACHINE LEARNING & PREDICTIVE ANALYTICS• Built ML models for container allocation optimization achieving 80% prediction accuracy, directly supporting annual contract negotiations and $6.5M+ cost avoidance• Implemented predictive algorithms for lead time forecasting and carrier performance evaluation STRATEGIC DATA PRODUCTS• Engineered CIM Analytics Data Solution, consolidating fragmented carrier invoice data across multiple modules into unified operational and financial metrics dashboard• Created comprehensive ETL pipelines integrating unstructured OCM data, enabling end-to-end shipment tracking and reducing demurrage costs BUSINESS IMPACT:• Reduced query processing time by through optimized BigQuery implementations• Enabled data-driven decision making for multi-billion dollar supply chain operations• Supported strategic sourcing decisions through advanced carrier performance analytics• Transitioned legacy systems to cloud-native architecture with enhanced scalability Technologies: Python, SQL, Google BigQuery, Tableau, PowerBI, Dataform, Git, Power Automate, GCP, Machine Learning, ETL Pipelines

Education

• Punjabi University

  B.Tech, Mechanical Engineering

  2007 — 2011

• Syracuse University

  Master of Business Administration - MBA, Business Administration and Management, General

  2018 — 2020