Supply Chain Business Intelligence

Aniket Rukari

*************@*****.*** +91-976******* Linkedin/aniketrukari

Experience

Business Intelligence Engineer Tesla, USA Oct 2021 – Present

• Developed an NLP-driven application leveraging auto diagnostic logs and in-app customer queries to automate error correction code generation, reducing service cycle time by 50% through streamlined fault detection and resolution

• Developed customer segmentation models using K-Means and hierarchical clustering on usage patterns with (Python, scikit-learn) service frequency, and demographics, enabling personalized service offerings and increasing customer satisfaction rating by 18%

• Built and deployed predictive models to forecast demand and streamline the service supply chain for 23K+ components, driving a 15% decrease in overhead costs (warehouse space, labor) and enhancing end-to-end part availability

• Led simulation and statistical modeling (Python/Excel) for material and demand planning in collaboration with the NPI team, resulting in the integration of SAP IBP to streamline supplier onboarding and achieve a 26% reduction in logistics costs

• Optimized service slot allocation using linear and integer programming (MATLAB), incorporating technician availability, part inventory, and scheduling constraints, resulting in a 5% reduction in delivery time and improved resource utilization across

• Tapping into different data repository made relationship models between correction code and parts used for service by using SQL codes and created Tableau report/dashboard for executive management to make business decisions leading to 90% parts automation for service with $3 million+ savings in labor hour Industrial Engineer GAP INC, USA Oct 2019 – Oct 2021

• Served as project lead and subject matter expert (SME) for material handling automation designs in Auto CAD, conducting ROI calculations, cost justifications, and risk analyses for capital projects by gathering key data (costs, labor hours, dimensions, material strength, logistics) resulting in key role in change management for transitioning the business from retail to online

• Led system integration of ASRS (TGW), sorting system (Vargo), and Kiva pick robots into Gap’s ecosystem, achieving go- live in record time; automation improvements delivered 40–60% space savings, 99%+ inventory accuracy, and 20% reduction in labor costs for picking and sorting

• Recipient of “Exceed Award” only given within 5% of the company’s employees for initiating and implementing continuous improvement project (one touch scanning) directly resulting into gross saving of $3 million over 3 years Supply Chain Analyst Dollar General, USA June 2018 – Oct 2019

• Worked with VP supply chain to develop executive-level reports and dashboards to support strategic business decisions and was key stakeholder in benchmarking and change management across the entire organization

• Developed relationship models between data tables and entities by accessing multiple data repositories using SQL from different system JDA WMS, Red Prairie, Manhattan and other operating system, which let do more data transparency for complex problem-solving

• Defined and introduced new key performance indicators (KPIs), driving productivity improvements and solving operational challenges

Software

Education

Master of Science in Industrial Engineering GPA: 3.6 / 4.0 Major: Supply Chain and Data Analytics

University of Texas at Arlington, U.S.A (Dec 2018) Honors: Alpha Pi Mu, Tau Beta Pi

• Tableau • Machine learning • ERP systems

• SQL • MATLAB • Python

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