Parth Shah

• Leading cross-functional projects and operational initiatives to optimize Tesla’s supply-demand balance across its global vehicle portfolio • Identifying and implementing optimization opportunities in Tesla’s outbound vehicle flow to accelerate cash conversion and minimize logistics costs • Implementing just-in-time inventory planning by developing an optimization model using structured data analysis • Working with sales forecasting team to identify risks to future build and distribution plan • Working with the pricing team to identify and measure potential initiatives to resolve existing supply-demand imbalances • Using SQL modules on a daily basis to measure and correct for any inefficiency in Tesla’s outbound plan and current regional supply-demand balance • Managing key demand Planning initiatives such as vehicle movements, data enrichment, and planning process improvements • Supporting demand planning team generally with cross-functional projects and analytics

• Developed a Linear Programming model of 1.6 Million variables using Python and CBC optimization solver that optimizes transportation scheduling of crude oils and natural gases via railcars, trucks, and pipelines in the USA, Canada, and Mexico • Developing and running various small linear programming models using Excel Solver to fulfill the latest logistics constraints when required for the decision making allocation optimization • Developing and running various SQL queries and Macros to automate daily processes • Responsible for demand forecasting using statistical methods and other advanced data analysis such as supply-demand analysis, inventory control analysis and P&L Analysis using Tableau, MS Excel and Minitab • Responsible for the various KPIs terminals performance analysis using ERP system and WMS system to measure under-performance and over-performance of all terminals

• Research area: Optimization of waste supply chain and waste value recovery • Completed a research project for the International Department of Waste Management with Dr. Sara (NY, USA), Dr. Theodoros (Athens, Greece) and Dr. Arkady (Lulea, Sweden) • Developed a new stochastic optimization waste collection structure that is based on sensor-based Internet of Things (IoT) technologies • Developed a truck scheduling model and a stochastic allocation model that maximize waste value recovery and minimize transportation cost simultaneously using chance-constrained programming and linear programming

• Output: Reduced production time of the canister by 16%; Reduced annual cost by 19,800 USD; Improved sigma level from 3.2 to 4.1 • Led a team of five interns and followed DMAIC approach • Performed value stream mapping (VSM), process flow diagram, swim lane diagram, voice of customers (VOC) and critical-to-quality trees (CTQ) to define problems • Performed SIPOC, data collection, data cleaning, DPM level analysis, histogram, Pareto analysis, MSA gauge R&R study, prioritization matrixes and time studies to measure problems • Used Minitab for 5-whys analysis, cause & effect diagram, root cause analysis, DOE, ANOVA, multi-vari analysis, process capability analysis, KPIV & KPOV, run chart and hypothesis testing to analyze problems • Performed kaizen events, pull systems, SMED and 5S to improve workflow • Performed statistical process control (SPC), visual controls and total productive maintenance (TPM) to control problems • Designed a new facility layout that reduced non-value-added activities • Designed a new fixture design for canister manufacturing process that reduced alignment problems • Suggested quality kaizen and poka-yoke to reduce defects during operations • Identified all the possible failures using failure modes and effects analysis (FMEA) • Performed cost analysis and calculated payback period, IRR, ROI and NPV • Submitted corrective action and preventive action (CAPA) report, standard operating procedure (SOP) and control plans

• Output: Reduced stock-outs of Class A items by 30%; Reduced annual inventory cost by 20,000 USD • Performed ABC analysis to classify Class A items • Performed data cleaning to transform ERP system data into required project data • Normalized data and removed outliers using Minitab • Performed statistical analysis on past 48 months demand data of Class A items to identify any trend, cycle or seasonality • For stationary series performed forecasting using moving average and exponential smoothing • For trend based series performed forecasting using regression analysis and holt’s method • For seasonal series performed forecasting using multiplicative factor method • Calculated various forecasting errors such as MAPE, MSE, and MAD • Suggested best forecasting methods for all Class A items • Developed an excel sheet that automatically selects best forecasting method and forecast demand as new demand data enter each month for each item • Developed an excel sheet that calculates economic order quantity(EOQ), reorder point, safety stock, inventory cost, % stock out per order cycle as new demand data enter each month for each item • Programmed all procedures using Python and developed standard operating procedure (SOP) to use the code

• Output: Reduced erosion and fracture of the elbow joints by 40% in the pneumatic sand conveying system; Increased life of a joint 3 times • Led a team of 3 interns and followed the 8D approach • Performed 5-whys analysis, root cause analysis, DPM level analysis, histogram, and Pareto analysis to identify problems • Performed material analysis and elbow angle analysis • Modified existing 90-degree elbow joint into four parts of 22.5-degree using big radius concept • Provided ceramic inner linings in elbow joints • Created a new elbow design by proving ‘sand pocket’ at the curvature of joint that has reduced erosion significantly • Identified all the possible failures failure modes and effects analysis (FMEA) • Submitted corrective action and preventive action (CAPA) report, supplier corrective action request instructions (SCAR), standard operating procedure (SOP) and control plans

Transferred to the University at Buffalo after 1st semester