Rachit Garg

Industrial Engineer @ Tesla

About

My area of interest lies in statistics, data analysis, discrete-event simulation, & optimization models.

Country

United States

City

Buffalo

Industry

Transportation/Trucking/Railroad

Skill

Computer-Aided Design (CAD), Time Series Analysis, Material Flow Analysis, SAP ERP, Business Intelligence Visualization, Cost-Benefit Analysis, Statistical Analysis, Optimization Models, Extract, Transform, Load (ETL), Data Extraction, Statistical Inference, Industrial Engineering, Inventory Management, Discrete Event Simulation, SAS (Programming Language), Data Science, Predictive Analytics, Data Wrangling, Data Visualization, Algorithm Analysis

Experience

Industrial Engineer

Tesla

2024-4 - Present · 2 yrs 6 mos

Buffalo, New York, United States

•Simulation of production line using cycle time studies to identify bottlenecks, and develop optimized equipment & staffing plans, maximizing throughput while minimizing labor hours per unit. •Layout designing in CAD to optimize the space utilization and streamline job flow.

Operations Research Engineering Intern

Tesla

2023-5 - 2023-8 · 4 mos

California, United States

•Engineered the material flow system and automated order replenishment of 500+ parts by optimizing the inventory model. •Quantitative modeling of the material flow between warehouse and factory, and reduced the headcount and logistic costs.

Senior Business Analyst

EXL

2021-7 - 2022-6 · 1 yr

Bengaluru, Karnataka, India

•Developed an intelligent document search engine for a leading British consumer bank, leveraging unsupervised ML clustering to automate NLP-driven document processing. •Supported the Customer Engagement & Marketing (CEM) analytics team of a financial services client by delivering actionable dashboards/ reports in Excel and Tableau using SQL.

Intern Trainee

Honda Cars India Ltd

2019-5 - 2019-7 · 3 mos

Noida, Uttar Pradesh, India

Analyzed inventory data of the paint shop and optimized the replenishment system.

Education

University of Michigan

Industrial & Operations Engineering

2022-8 - 2023-12 · 1 yr 5 mos

Concentration: Data Analytics and Applied Statistics Fall ‘22 Linear Programming I (IOE 510) Statistical Learning for Data Science (IOE 591) Simulation (IOE 474) Winter ‘23 Advanced Data Analytics (IOE 473) Continuous Optimization Methods (IOE 511) Applied Business Analytics (TO 618) Risk Analysis I (IOE 561) Fall ‘23 Big Data Management Tools (TO 640) Operations Analysis and Management (IOE 440) Technology-Inspired Business Models (ENTR 520)