Jeffersen Prince Azariah

ad46am@r.postjobfree.com 339-***-****

SUMMARY

A recent Engineering Management Masters graduate and a Mechanical Project Engineer who has led new product development, in successful project management scenarios in the manufacturing Industry fostering collaboration among diverse stakeholders and cross-functional teams thereby providing key design solutions to clients.

EDUCATION

(MS) Master of Science in Engineering Management, Tufts University, Medford-MA Sep 2022- Dec 2023

(BE) Bachelor of Engineering - Mechanical Engineering, Anna University, Chennai-India Aug 2016- Apr 2020

School Projects - Engineering Project Management

Design and Evaluation of Composite car engine sub-frame

Utilized SolidWorks software to design vehicle engine Subframe and simulated crashes at different speed ranges (80/100/120 kmph) on Ansys workbench and analyzing the Crash Injury Responses led to a 20% decrease in the stress distribution at the Driver Cage.

Evaluated the structural and mechanical design of conventional steel parts (GD&T, FEA, DFMEA) used in car front subframe rails and successfully replaced them with lightweight composite materials, leading to a 20% decrease in overall stress distribution and improved driver safety. Performed product quality testing – QA, for various shapes of the sub-frame.

Kathalyst AI (AI code documentation web plug-in)

Led a cross-functional New Product Development team in customer discovery for an AI code documentation web plugin.

Implemented a customer-centric product roadmap with agile methodologies, beta product testing, and price sensitivity tests, resulting in a measurable improvement market penetration and a notable increase in user satisfaction at launch.

Design: AutoCAD, Ansys workbench, CATIA, SolidWorks

Key Skills: Product Design, Data Operations, Root Cause Analysis, Engineering Systems thinking, Product Strategy

Certificates: Immersive Product Management (Tufts), Lean Six Sigma Green Belt (Project Management Institute)

WORK EXPERIENCE

Project Engineer, Precision Profiles May 2020 - Sep 2022

Designed and performed design failure and effect analysis and Finite Element Analysis (DFMEA, FEA) on client requirements utilising AutoCAD Ansys Workbench and SolidWorks softwares.

Managed project schedules by orchestrating client meetings and harmonizing efforts across design and manufacturing divisions, leading to punctual project delivery with a 95% accuracy.

Collaborated cross-functionally to develop detailed project plans and timelines, improving project efficiency by 30%.

Conducted meticulous feasibility studies and risk assessments to assess project viability and mitigate potential challenges, reducing design failure and escalation.

Verified and executed design calculations for components from a diverse client profile including flow control, automobile, and heavy machinery components, ensuring accuracy and compliance with each client requirement.

Implemented quality and design control measures to ensure accuracy in manufactured parts through thorough supervision and cross-collaborative efforts on the manufacturing floor.

Drove manufacturing quality improvements for purchased products by increasing internal competencies in process control, validation studies, root cause analysis, failure mode and effects analysis (FMEA), and the use of Process Excellence tools.

Cultivated strong client relationships, resulting in enhanced satisfaction and repeat business opportunities.

Developed and monitored in-process inspections to ensure the quality and evaluation processes to meet regulatory requirements in the respective Industries.

Project Engineer Co-op, TVS Automobiles April 2019 – April 2020

Collaborated with manufacturing engineers in generating Bill of Materials (BOM) and job sheets and assisted in reducing service station downtime through documentation and analysis of at least 50 vendor testimonials and feedback from internal stakeholders.

Improved assembly line efficiency by optimizing engineering process planning and operation sequencing, while utilizing Statistical Process Controls (SPC) with Power BI as our main data processing platform to allow better processes to be implemented in the service teams.

Leveraged user research in the after-purchase period to perform business analytics through direct customer interviews and importing analytical data to Excel spreadsheets for quantitative research which led to a 15% increase in customer satisfaction and a 10% boost in customer retention.

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