Summary
Overview
Work History
Education
Publications
Timeline
Generic

Gurtaj Singh

Oklahoma City,OK

Summary

Innovative Research & Development Engineer skilled in solving complex problems through tailored data and algorithms. Background in computer science drives delivery of efficient solutions across diverse industries. Strong collaborator, leveraging interdisciplinary ideas to achieve impactful results.

Overview

8
8
years of professional experience

Work History

Senior Data Scientist (Applied machine Learning)

Oklahoma Workforce Commission
Oklahoma City, Oklahoma
06.2025 - Current
  • Developed advanced machine learning models that optimized workforce analytics, enhancing public service delivery
  • Implemented automated data pipelines for large-scale data processing and real-time insights generation on GCP and Azure, facilitating timely decision-making
  • Led cross-functional initiatives to integrate machine learning solutions into operational workflows, streamlining processes and improving service efficiency

Research & Development Software Engineer

Maxcess International
Oklahoma City, Oklahoma
08.2021 - 06.2025
  • Led innovation projects utilizing deep learning, generative AI, IoT systems, and computer vision to advance industrial applications.
  • Developing and deploying deep learning/ML models with over 90% accuracy, leveraging transfer learning and fine-tuning techniques.
  • Utilizing simulations to optimize industrial automation, ensuring robust and data-driven decision-making.
  • Engaged in strategic planning for R&D initiatives, aligning technical solutions with business objectives.
  • Collaborated with cross-functional global teams to investigate emerging technologies and sustain competitive advantage in the industry.

Image Processing and Machine Learning Engineer

Agco Corporation
Wichita, Kansas
01.2020 - 08.2021
  • Developed and optimized algorithms for near-real-time image processing, enhancing system automation.
  • Contributed innovative ideas resulting in 18% performance improvement of Neural Network models across categories.
  • Utilized various Python libraries such as pandas, NumPy, seaborn, SciPy, matplotlib, scikit-learn, and NLTK to design and implement machine learning algorithms for autonomous decision-making in agricultural machines.

Data Science Intern

AccuWeather
Wichita, Kansas
05.2019 - 01.2020
  • Conducted ad-hoc analysis using predictive analytics and machine learning algorithms to forecast key metrics and designed informative dashboards on Tableau and PowerBI.
  • Processed, cleansed, and verified integrity of large data sets for analysis using NumPy, Pandas, and R, ensuring data accuracy for informed decision-making.
  • Created maps from geospatial data using ArcGIS Desktop and developed interactive notebooks and maps with Azure Databricks, Python, Jupyter, Arcpy, and D3 to enhance data visualization.

Graduate Research Assistant

Wichita State University
Wichita, Kansas
08.2018 - 01.2020
  • Implemented ETL and business intelligence techniques to modernize library operations, enhancing overall efficiency with cost-effective solutions.
  • Led multiple data analysis projects for business school professors utilizing Advanced Excel, Python, Power BI, and IBM SPSS.

Software Engineer

Click Labs
Chandigarh, India
10.2017 - 06.2018
  • Developed REST APIs and implemented real-time location tracking via web sockets, improving user experience and application responsiveness.
  • Developed backend systems with Node.js and MongoDB, enhancing application functionality and performance.
  • Designed and implemented call assignment and agent rating algorithms, streamlining operations and improving service efficiency.

Education

MBA - Project Management

University of The Cumberlands
Williamsburg, Kentucky, KY
05-2025

Master of Science - Computer Science

Wichita State University
Wichita, KS
05-2020

Bachelor of Science - Computer Science And Engineering

Lovely Professional University
Punjab, India
05-2018

Publications

  • Privacy-Preserving IoT Devices - 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT) · May 3, 2019
  • A Tiling Approach for Multiple Parallel Routing in Software-Defined Networks - 2019 IEEE Long Island Systems, Applications and Technology Conference (LISAT) · May 3, 2019

Timeline

Senior Data Scientist (Applied machine Learning)

Oklahoma Workforce Commission
06.2025 - Current

Research & Development Software Engineer

Maxcess International
08.2021 - 06.2025

Image Processing and Machine Learning Engineer

Agco Corporation
01.2020 - 08.2021

Data Science Intern

AccuWeather
05.2019 - 01.2020

Graduate Research Assistant

Wichita State University
08.2018 - 01.2020

Software Engineer

Click Labs
10.2017 - 06.2018

MBA - Project Management

University of The Cumberlands

Master of Science - Computer Science

Wichita State University

Bachelor of Science - Computer Science And Engineering

Lovely Professional University
Gurtaj Singh