Ganeshkumar Patel

Ganeshkumar Patel

Production Engineer

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location of Ganeshkumar PatelBengaluru, Karnataka, India

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  • Timeline

  • About me

    Data Engineer(R&D) @Finquest|Data Scientist | Python | Machine Learning | SQL | Deep Learning | LSTM | NLP | Pytesseract | Excel | Tableau.

  • Education

    • Government polytechnic, Jalgaon

      2007 - 2010
      High School Diploma Mechanical Engineering Distinction
    • Simplilearn Alumni

      2019 - 2020
      Data scientist Data science Distinction
    • Sanjivani College of Engineering kopargaon

      2010 - 2013
      Bachelor of Engineering - BE Mechanical Engineering Distinction
  • Experience

    • EKDANT MOULDERS AND ENGINEERS PRIVATE LIMITED

      Jun 2013 - May 2014
      Production Engineer
    • AXIS INFRACON

      Jun 2014 - Dec 2016
      Project Engineer
    • Mahindra CIE Automotive, Rajkot

      May 2017 - Jul 2018
      Production Engineer
    • Atul Auto Ltd.

      Jul 2018 - Apr 2021
      Quality Assurance Engineer

      -> Raising and timely closure PQFR in case of part quality issues, Evaluation of CAPA provided by suppliers against the raised issue and update PQFR database. -> Developed Supplier visit prediction model based on previous part defect occurrence and suggestions made for planning surprise visit to supplier according to their defect rate probability so that defects can be arrested before they occur

    • Aum Dia Technologies

      May 2021 - Jan 2022
      Senior Production Engineer

      Accountable for supplier production line improvement to ensure continuous production at company end. Developed strategies and excel s

    • AlmaBetter

      Feb 2022 - now

      -> Fundamental of python, introduction to NumPy, Pandas, and data visualization using Matplotlib & Seaborn.-> Math's: calculus, Linear Algebra, probability theory, descriptive and inferential statistics, Hypothesis testing, A/B testing.-> Introduction to Machine Learning, Linear Regression Implementation, Bias-Variance Tradeoff, Regularized Linear Regression, Cross-Validation & Hyperparameter Tuning, Logistic Regression, Decision Trees, Ensembles of Decision Trees,-> K-Nearest Neighbors, Naïve Bayes Classifier, Support Vector Machines, Neural Networks, K-Means Clustering, Hierarchical Clustering, Principal Component Analysis, Anomaly Detection, Introduction to Natural Language Processing, Topic Modeling-> Recommender Systems - Collaborative Filtering, Content Based Filtering, Time Series Analysis Show less

      • Data Science Trainee

        Dec 2021 - now
      • Data Science Intern

        Mar 2022 - May 2022
      • Bank Marketing Campaigns Effectiveness Classification

        Mar 2022 - Apr 2022
      • NYC Taxi Trip duration Prediction

        Mar 2022 - Mar 2022
      • Play Store App Analysis

        Feb 2022 - Mar 2022
    • Finquest

      Jul 2022 - now
      Data Engineer

      -> Performing data analysis to identify and solve business problems. -> Develop & implement successful Automated strategies on project, Data analysis, Data pipelines and programs in conjunction with team.

  • Licenses & Certifications