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Resume

                                                                       SARAANSH SAXENA
                                                                Tempe, AZ 85281

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EDUCATION
Arizona State University                                                                                                     Sep. 2018 – May 2021
Master of Science in Mechanical Engineering Tempe, Arizona

SRM University                                                                                                                   Sep. 2014 – May 2018
Bachelor of Technology in Mechanical Engineering Chennai, Tamil Nadu, India

WORK EXPERIENCE
Shutterfly Inc.                                                                                                                     August 2020 – Present
Equipment Engineer, Arizona

  • Implemented digital print maintenance program related to different types of repair on high-capacity printing presses, to reduce onsite repairs by 30% and increases the throughput of machines by 20%

  • Developed SOPs for a variety of high-capacity rated machinery, developing my expertise and enhancing the team's productivity, resulting in a 33% reduction in on-site repair call time

  • Create and manage entire product assembly and Bills of Materials (BOM)

  • Trained the machine operators on safety measures, 5S and digital press operation, along with basic troubleshooting techniques and consumable replacemen

Benteler Automotive India Pvt. Ltd.                                                                                    June 2017 – July 2017
Manufacturing Intern Pune, Maharashtra, India

  • Investigated the crack propagation in B-pillar (Boron Steel 22MnB5) by conducting the root cause analysis (Ishikawa diagram, pareto chart, control chart), SPC to reduce the failure rate of the automobile structure (B-pillar) by 75%

  • Applying experimental and computational (FEA) techniques, analyzed important testing procedures related to tensile strength, shear strength, and hardness to remove the bottleneck and increase production efficiency from 88% to 97%

  • Modified the die design drawings and 3D models for sheet metal molding and stamping by decreasing the die shoulder radius, which reduced the failure rate by 75%

TATA Motors Pvt. Ltd.                                                                                                          June 2016 – July 2016
Mechanical design Intern Pune, Maharashtra, India

  • Upgraded from classic to moving production line for the 4X4 front axle assembly using 2D drawings, 3D models and FEA analysis to facilitate the variable purchase order throughout the year

  • Designed the parts keeping design for manufacturability (DFM) and design for assembly (DFA) in mind along with meeting ISO 1101:1983 standards to increase the efficiency of the production line by 8%

  • Fabricated modular attachment for existing jigs in an assembly line, to increase the production throughput by 60%

RESEARCH EXPERIENCE
Arizona State University | 3D modeling, Prototyping, Coding, Manufacturing             October 2018 – May 2020

  • Worked under the guidance of Nobel Laureate Prof. Frank Wilczek and Prof. Nathan Newman to develop an anomaloscope

    classifying people into different color-blindness categories which provides categorization into 14 categories as compared to

    Ichihara test’s 5 categories

  • Designed and manufactured a novel Anomaloscope (Patent-pending) from the ground up using, literature review, 3D modeling,

    prototyping, 3D printing, Arduino coding and testing to produce an ergonomic and easy to use device

  • Designed a custom four-layer PCB with SMD and ribbon pin connections to link to a custom controller with a ten-turn

    potentiometer and switches for precise device control, as well as a silkscreen for convenient assembly and debugging

  • Researched, tracked, and documented the potential partnership with hospitals, ophthalmologists, and optometrists to

    maximizing the adoption and recognition of the device

Universitat Politecnica de Valencia (UPV) | Artificial Neural Network                       February 2018 – July 2018

  • Built an Artificial Neural Network model with 80% accuracy which can predict engine performance under varying conditions

  • Analyzed and predicted the pollutant emissions of a DI diesel engine(experimentally) to reduce Carbon monoxide by 20%

  • Optimized the data lag and mass flow for the prediction model which increased the processing speed of the model by 2X

 

TECHNICAL SKILLS
• Solidworks                                      • Catia                                • ProE                                • Creo
• Ansys                                             • Abaqus                            • Siemens NXstudent        • PCB design
• 3D Printing                                     • Cura                                 • ntopology                       • Figma
• Grasshopper                                 • MATLAB                            • Mathematica                  • Python

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