Arun  Srinivasan

Arun Srinivasan

Senior Manufacturing Analyst @ Beckman Coulter Diagnostics

About

As an accomplished Industrial and Systems Engineer with a strong Mechanical Engineering background, I specialize in optimizing manufacturing processes and supply chain operations. I hold a Master’s degree from the University of Minnesota - Twin Cities and a Bachelor’s degree from PES University, Bangalore. Throughout my career, I have successfully led initiatives at Beckman Coulter, Tesla, and Boston Scientific, focusing on enhancing operational efficiency, reducing cycle times, and improving inventory management. Highlights include: Developing poka-yoke systems and Kanban strategies at Beckman Coulter Automating material flow processes at Tesla, achieving significant cost savings Driving sustainability initiatives and waste management improvements at Boston Scientific My expertise includes supply chain optimization, forecasting, and inventory management, with proficiency in Power BI, SQL, Python, SolidWorks, and ERP (Oracle EBS). I am adept at applying Lean techniques such as 5S, PSP, VPM, and Six Sigma to drive continuous improvement. In addition to my technical skills, I have demonstrated leadership in managing the development of an award-winning electric car for Vega Racing Electric, securing top rankings in national competitions. My academic achievements include being recognized as the Best Outgoing Student and publishing research on electric power-train optimization. I am passionate about leveraging technology and innovative methodologies to solve complex engineering challenges and drive impactful change. Let’s connect to explore opportunities for collaboration.

Country

United States

City

Minneapolis

Industry

Consumer Goods

Skill

Value Stream Mapping, Manufacturing Process Improvement, Analytical Skills, Supply Chain Management, Capacity Planning, Engineering Process, Data Analytics, Windchill, Basic Math, Team Management, Waste Management, Waste Reduction, Lean Process Improvement, Project Management, 5S, DMAIC, Microsoft PowerPoint, Capital Forecasting, Critical Thinking, Creative Problem Solving

Experience

Beckman Coulter Diagnostics

Senior Manufacturing Analyst

Beckman Coulter Diagnostics

LinkedIn
2026-3 - Present · 7 mos

United States

Beckman Coulter Diagnostics

Manufacturing Analyst

Beckman Coulter Diagnostics

LinkedIn
2024-7 - Present · 2 yrs 3 mos

Chaska, Minnesota, United States

Tesla

Process Engineering Technician III

Tesla

LinkedIn
2024-2 - 2024-7 · 6 mos

Buffalo, New York, United States

• Managed data-driven scheduling for the Warehouse on Wheels (WoW) system by optimizing truck pulls for specific parts, maintaining optimal factory inventory levels, and saving $24,000 annually through space optimization. • Automated in-factory material flow by integrating with the Manufacturing Execution System (MES) and optimizing line-side storage, while setting up WMS processes for quality-related flows (MRB and IQC), ensuring accurate material placement and availability. • Utilized PFEP (Plan for Every Part), NPI (New Product Introduction), and WMS (Warehouse Management Systems) to optimize material flow and support continuous improvement initiatives, resulting in streamlined warehouse operations and reduced material handling time. • Developed an Excel tracker to monitor team changes within WMS transactions, reducing material shortages and cycle count discrepancies by logging changes and linking them to incident reports for better accountability. • Designed and implemented a vision-based system for part receiving to enhance material tracking accuracy and reduce cycle count errors, ensuring better inventory control. • Built Power BI dashboards for the receiving team to monitor the triage area, ensuring parts were put away within 24 hours, while also tracking ABC, XYZ, and D-class parts to identify and address inactive inventory exceeding 6 months.

University of Minnesota College of Science and Engineering

Grader

University of Minnesota College of Science and Engineering

LinkedIn
2023-9 - 2023-12 · 4 mos

Minneapolis, Minnesota, United States

Assessed and graded assignments, quizzes, and exams for the ’Optimization Models and Methods’ class of 60 students, ensuring a high level of accuracy and strict adherence to the grading rubrics provided by the instructor.

University of Minnesota

Project Assistant - Research Facility Support Services (RFSS)

University of Minnesota

LinkedIn
2023-8 - 2023-12 · 5 mos

Minneapolis, Minnesota, United States

• Led the implementation of 5S principles, resulting in a 20% reduction in tool retrieval time and a 15% increase in office space utilization, enhancing workspace efficiency for the project team. • Pioneered the concept and proposal for implementing an enhanced inventory system, recognizing the critical need for efficient resource management within the project. • Demonstrated a proactive approach to learning by gaining proficiency in the creation and management of purchase orders (POs), enhancing knowledge in procurement processes. • Acquired proficiency in remote monitoring alarm systems, enabling assistance to customers in effectively utilizing and troubleshooting the system

Boston Scientific

Industrial Engineering/EHS Intern

Boston Scientific

LinkedIn
2023-5 - 2023-8 · 4 mos

Arden Hills, Minnesota, United States

• Conducted waste audits, calculating a 65% present diversion rate, and implemented a tracking system within the TRUE system to enhance waste metric monitoring, with an expected 10% increase in the diversion rate upon full implementation. • Utilized 5S, DMAIC, and lean principles to optimize workstations, reducing cycle time and improving material flow for increased operational efficiency. • Spearheaded the achievement of 6 credits for the TRUE zero waste certification program through a comprehensive review of the program framework, existing facility data, and key contact identification for pre-gap analysis. • Developed innovative waste reduction solutions by assessing various site operations, targeting process waste, packaging, and hazardous waste streams. • Explored recycling opportunities for major waste streams, such as silicone and plastic film, to further enhance the site's sustainable waste management practices. • Implemented effective communication strategies to educate employees on waste management through the creation of a SharePoint page, signage, and table toppers, driving awareness of the TRUE program's goals and benefits.

Vega Racing Electric

Power-Train Head

Vega Racing Electric

LinkedIn
2019-9 - 2022-5 · 2 yrs 9 mos

Bengaluru, Karnataka, India

• Headed a team of 3 to Design, test, and assemble the power train of an award-winning electric car that achieved a top speed of 80 km/h and a range of 150 km on a single charge. • Performed FMEA and Conducted Cost Benefit Analysis for planning Manufacturing resulting in 10% cost reduction and 5% increase in overall efficiency of the power train assembly process. • Coordinated with vendors for the manufacturing of critical components while effectively managing budget allocation for the project. • Empowered and coached 10 junior colleagues in applying advanced design and assembly techniques using SOLIDWORKS software, resulting in a 20% increase in design efficiency. • Led a business presentation securing 3rd Rank and Overall 2nd Rank in the Formula Bharat Competition, presenting to a panel of 10 judges.

Atkins

Mechanical Engineering Intern

Atkins

LinkedIn
2021-6 - 2021-7 · 2 mos

Bengaluru, Karnataka, India

• Coordinated with cross-functional teams of Mechanical and Civil engineers to design Mechanical Ventilation Systems for a prestigious real estate project in Dubai. • Analyzed AHUs’ chill water flow and power consumption, presented data findings to clients. • Mapped building floor plans using AutoCAD for best placement of air ducts.

Education

University of Minnesota

University of Minnesota

LinkedIn

Industrial Engineering

2022-9 - 2023-12 · 1 yr 4 mos

Relevant courses: Production and Inventory Management, Project Management, Simulation, Decision Analysis, Strategic Sourcing, Engineering Optimization, Stochastic Modelling, Lean Principles, Manufacturing Processes, Agile Methodologies, Data Driven Decision Making.

PES University

PES University

LinkedIn

Mechanical Engineering

2018-8 - 2022-5 · 3 yrs 10 mos

Relevant Coursework: Agile Manufacturing, Automotive, Manufacturing Process and CIM and Autonomous vehicle.

Arun Srinivasan's Contact Information

Email

******@***.com

Phone

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