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Pranav Kulkarni

Pranav Kulkarni

Summer Trainee

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location of Pranav KulkarniPalus, Maharashtra, India

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  • Timeline

  • About me

    PGET (Associate Grade) at CNH Industrial || M-Tech (FMP) 21-23 || IIT Kharagpur || Agricultural Engineer || Dr. A.S.C.A.E&T, MPKV Rahuri

  • Education

    • Indian Institute of Technology, Kharagpur

      2021 - 2023
      Master of Technology - M-Tech Farm Machinery and Power

    • Mahatma Phule Krishi Vidyapeeth, Rahuri

      2017 - 2021
      Bachelor of Technology - B-Tech Agricultural Engineering

  • Experience

    • Northern Region Farm Machinery Training and Testing Institute

      Jun 2019 - Jun 2019
      Summer Trainee

      One month training programme.Study, Selection, Operation, Maintenance and Repair of Tractor and Agricultural Implements, I.C. Engine, Irrigation Pumps, Plant Protection Equipment's. Operation on different tractor operated and self propelled agricultural machinery on the farm.

    • ALBEDO FOUNDATION

      Jun 2020 - Jun 2020
      Summer Trainee

      Four Weeks Summer Training Programme.Basics of Remote Sensing and GIS, hands on QGIS software.

    • CAAST-CSAWM

      Feb 2021 - Jun 2021
      Trainee

      National certificate coursesMODULE 1: (February 22 to April 25, 2021)1. Basics Geoinformatics2. Fundamentals of UAV's3. Post-Harvest Management of Horticultural crops.MODULE 2: (April 26 to June 27, 2021)1. IT Applications in Precision Irrigation .2. Watershed Hydrological Modelling.3. Google Earth Engine with Python.

    • TAFE - Tractors and Farm Equipment Limited

      Sept 2022 - Mar 2023
      Project Intern

      Title: Real-Time Tractor Engine Performance Prediction and Optimization of Operating Parameters during Tillage Operations.Overview: The project focuses on improving agricultural operations by providing real-time engine performance prediction and optimization during tillage operations. Developed an advanced artificial neural network (ANN) model that takes into account key field parameters such as type of implement, soil type, depth of operation, speed of operation, gear selection, and throttle position to predict engine performance. Also optimized operating parameters were found out by matching rear axle power availability with requirements and recommended the optimum gear and throttle based on minimum SFC (Specific Fuel Consumption, g/kWh) and FCA (Fuel Consumption per Tilled Area, L/Ha) criteria. Lastly, developed a user interface using Python programming to represent the project's overall functionality. Project objectives aims to improve efficiency and reduce fuel consumption, benefiting farmers and the environment alike. Show less

    • CNH

      Jun 2023 - now
      PGET

  • Licenses & Certifications