Prateek Khurmi

Project Manager

New Delhi, Delhi, India0 mo experience

Key Highlights

  • Developed a supply chain optimization model reducing costs by 31%.
  • Increased machine learning model accuracy by 15% for healthcare.
  • Strong foundation in electronics and computer engineering.
Stackforce AI infers this person is a skilled candidate in Supply Chain Management and Healthcare optimization.

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Skills

Core Skills

Supply Chain OptimizationData AnalysisMachine LearningHealthcare Operations

Other Skills

PyomoPandasSQLDatabricksDeep LearningPython (Programming Language)Android JetpackModel-view-viewmodel (MVVM)KotlinNeural NetworksProduct DevelopmentCustomer SupportAPI DevelopmentSQLitePostgreSQL

About

Currently pursuing a Bachelor of Technology in Electronics and Computer Engineering at Thapar Institute of Engineering & Technology (expected 2026), I recently contributed to Stryker as a Project Intern. My work focused on developing a multi-supplier, multi-echelon supply chain optimization model using Pyomo, automating data preprocessing with Pandas and SQL, and accelerating solution computation time. I also utilized Databricks for data analysis and reporting, ensuring accuracy in validation and cost-effectiveness. Previously, at DRDO, I collaborated on machine learning models to enhance hospital staff management. Efforts included boosting model accuracy through data preprocessing and hyperparameter tuning, which led to improved healthcare operations and worker well-being. With a solid foundation in electronics and computer engineering and a focus on problem-solving and optimization, I am driven to contribute to innovative solutions that benefit organizations and society.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Ericsson

SDE(R&D) Intern

Jan 2026Present · 4 mos · Gurugram, Haryana, India · On-site

Stryker

Project Intern

Jun 2025Aug 2025 · 2 mos · Gurugram, Haryana, India · On-site

  • Developed a multi-supplier, multi-echelon supply chain optimization model using Pyomo, reducing projected transportation,
  • holding, and handling costs by 31% and improving solution computation time from 198 minutes to 68 minutes.
  • Preprocessed and normalized demand and cost data using Pandas and SQL, implementing automated mappings for distances,
  • warehouses, and high-distance SKUs, enabling seamless multi-supplier integration and faster model preparation.
  • Validated solver outputs by cross-checking path assignments, cost breakdowns, and cash reduction calculations,
  • storing and analyzing results on Databricks, accelerating stakeholder reporting.
  • Implemented a single-pass optimization solution using McCormick relaxation to linearize bilinear terms, improving
  • solver efficiency and reducing runtime.
PyomoPandasSQLDatabricksSupply Chain OptimizationData Analysis

Defence research and development organisation (drdo)

Research Intern

Jun 2024Jul 2024 · 1 mo · Delhi, India · On-site

  • 1. Spearheaded the development of machine learning models to optimize hospital staff management, driving enhanced
  • operational efficiency and resource allocation.
  • 2. Increased model accuracy by 15%, reaching 91% for stress detection in healthcare workers through iterative data
  • preprocessing and hyperparameter tuning.
  • 3. Collaborated with cross-functional teams to ensure deployment of models within the operational workflow, resulting in improved worker well-being and organizational performance.
Deep LearningPython (Programming Language)Machine LearningHealthcare Operations

Education

Thapar Institute of Engineering & Technology

Bachelor of Technology - BTech — Electronics and Computer Engineering

Jan 2022Jan 2026

TSBIE

High School — PCM

Apr 2020May 2022

Global Indian International School

10th

Army Public School (APS)

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