Resume

Let's optimize the world.

Dynamic and innovative Supply Chain and Industrial Engineer with a strong foundation in Material Science and Engineering from IIT Kanpur and a Master’s in Industrial Engineering from Kansas State University. My expertise lies in stochastic modeling, optimization, and advanced data analytics, with a research focus on vehicle routing problems and resilient transportation networks. Professionally, I work as a Supply Chain Data Analyst, leveraging ERP systems, forecasting models, and process optimization to drive efficiency and impact. I bring a unique blend of academic research, industry experience, and a passion for sustainable and data-driven solutions. Committed to continuous learning and professional growth, I aim to contribute to challenging projects at the intersection of supply chain analytics, operations research, and intelligent mobility.

Education

[ August 2022] - [ December 2024 ]

[ Kansas State University ]

[ MS Industrial Engineering ]

Relevant Courses : Methods of Operations Research, Applied Stochastic Processes, Transportation Logistics

Research Interests : Stochastic Programming, Optimization, Reinforcement Learning, Machine Learning

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[August 2014 ] - [ July 2020]

[ Indian Institute of Technology, Kanpur ]

[Bachelor of Technology - Material Science and Engineering ]

Minor: Manufacturing Sciences

Relevant Courses: Computer Aided Manufacturing, Computer Aided Engineering design, Computational Methods in Engineering

Relevant Work Experience

[ March 2025 ] - [ Present ]

Supply Chain Data Analyst

KC Store Fixtures

Kansas City, Missouri, USA

At KC Store Fixtures, I work as a Supply Chain Data Analyst, leveraging NetSuite ERP to optimize inventory, reporting, and workflow processes.

[ August 2023] - [ December 2024 ]

Graduate Research Assisstant

Department of Civil Engineering

Kansas State University

Focused on developing a robust and scalable solution for Vehicle Routing Problem with various levels of Stochasticity that can be useful for delivering relief products after a disaster.

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[ January 2023 ] - [ July 2023 ]

Part-time Student Programmer

Department of Biology

Kansas State University

Employed data analysis and R programming skills to conduct ecological research, specifically analyzing fish population dynamics in Kansas. The goal was to utilize existing fish and habitat survey data, to answer questions and propose conservation actions that advance the Kansas Wildlife Action Plan.

Other Experiences

Quantiphi Analytics and Solutions Bengaluru, India

Machine Learning Engineer

Dec 2020 - Aug 2022

Worked on developing an MLOps platform capable of training 200 models with different algorithms and scoring 5000 models in a day. Used AWS services like Sagemaker, EC2, S3 orchestrated over airflow to develop the platform which was featured in AWS Re:Invent 2021.
Developed a Computer Vision-based solution using OpenCV and EfficientDet architecture for identifying various parts in P & ID diagrams.
Worked on deploying a pre-trained sequential license plate detection algorithm on the newly launched device AWS Panorama which helped in deploying models easily over the edge.
Developed a facial recognition system with zero knowledge proof using AWS services like rekognition, S3, EC2, etc.

Download CV

Download my Curriculum Vitae for a detailed overview of my academic background, research experience, and professional accomplishments.

Suyash_Pratap_CV (updated sept25).pdf

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