Saideep Shinde

Saideep Shinde

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location of Saideep ShindePune, Maharashtra, India

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  • Timeline

  • About me

    Data Analyst at Cummins India

  • Education

    • Indian Institute of Technology, Bombay

      2016 - 2018
      Master's degree Mechanical Engineering CGPA: 9.02

      - Studied various thermal & fluid engineering courses like Computational Fluid Dyanmics, Advanced Heat Transfer, Fuels & Combustion, IC Engines, etc.- Completed Masters project in study of ignition & combustion of Hypergolic fuels

    • University of Pune

      2012 - 2016
      Bachelor's degree Mechanical Engineering Distinction

      Activities and Societies: - Built good conceptual base of mechanical engineering and enjoyed studying thermal and design related subjects. - Participated in technical activities and extra curricularnactivities like Chess competitions, organizing events during the course period. - Cleared GATE exam in the first attempt while in the final year of Bachelor's degree with 99+ percentile and secured admission in IIT Bombay for Thermal & Fluids engineering.

  • Experience

    • Cummins India

      Jul 2018 - now

      - Developed and implemented supervised and unsupervised machine learning models to optimize diagnostics, prognostics (RUL), & address other key business challenges.- Conducted comprehensive exploratory data analysis (EDA) to gain insights into the data, leveraging descriptive and inferential statistics. Applied data transformations and preprocessing techniques to prepare the data for modeling.- Successfully deployed modelling solutions that encompassed entire data science workflow, from data preprocessing to model training and evaluation, utilizing Azure Databricks.Work Impact:Achieved significant cost savings for the organization through reduced downtime, improved asset reliability, and enhanced operational efficiency. Show less - Spearheaded the development of machine learning and deep learning algorithms to accurately forecast engine out emissions for diesel engines. These predictive models played a pivotal role in optimizing engine performance and emissions control strategies.- Implemented comprehensive data pre-processing, feature engineering, performed thorough model exploration, hyper-parameter tuning, and model validation to ensure the robustness and accuracy of predictive algorithms.- Developed unsupervised clustering algorithms to create representative short duty cycles for simulating worst case scenarios.- Engineered a diverse array of virtual 1D engine simulation GT Models to precisely forecast engine performance and emissions. These models served as invaluable tools for optimizing engine design, refining combustion strategies, and ensuring emission compliance.- Spearheaded multiple projects encompassing hardware evaluation, altitude capability analysis, emissions modelling, performance analysis, etc.Work Impact:- Established a pioneering simulation capability within the emission modelling domain to address the absence of robust physics-based models by leveraging machine learning techniques. This groundbreaking achievement provided the organization a powerful tool to assess and optimize emissions control strategies for regulatory compliance.- Project outcomes helped stakeholders drive key decisions and time & cost savings.- Contributed to capability development, productivity, and modelling quality improvements. Show less

      • Data Analyst

        Jul 2023 - now
      • Thermal & Fluids Senior Engineer

        Apr 2021 - Jun 2023
      • Thermal & Fluids Engineer

        Sept 2019 - Mar 2021
      • Rotation Engineer

        Jul 2018 - Sept 2019
  • Licenses & Certifications

    • Data Analytics Certification

      ExcelR - Cummins India
    • Advance Data Science

      Purdue University
      Dec 2023
    • Six Sigma Green Belt Certification

      Cummins Inc.
      Aug 2025