Rohan Lingeri

Rohan Lingeri

Student Lead

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location of Rohan LingeriMumbai, Maharashtra, India

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  • Timeline

  • About me

    CSE Student at PES University

  • Education

    • PES University

      2020 - 2024
      Bachelor of Technology - BTech Computer Science
    • Delhi Public School - India

      2009 - 2020
      Computer Science
  • Experience

    • Research Et Al.

      Sept 2021 - Jun 2023
      Student Lead

      Part of 6 core member team, aiming to promote research and curate a research community.- Organized a seminar for 120 students to provide an introduction to research.- Managed collaboration with the Rotaract Club of PESU on a 2-week mock conference for 60 teams.- Responsible for design and operations.- Active work on reading and preparing scientific papers.

    • PV Diagnostics

      Feb 2023 - Apr 2023
      Data Analytics Intern

      Worked on analysis of renewable energy data for 2 wind farm sites. • Closely worked with team members with domain knowledge on wind energy generation to understand the working data. • Performed industry research and analysis on jargons and data units relevant to required analysis.• Used Python and Pandas library for pre-processing and initial assessment of data for next steps.• Learned and implemented industry standard operations to achieve desired derived data points from raw data.• Used Excel and Python package Matplotlib as analytical tools to produce representative and accurate charts to provide insights and generate hypothesis.• User PowerPoint in conjecture with Excel to create and communicate comprehensive reports derived from insights on the processed data.• Held consistent contact with the team to provide updates and seek feedback on progress achieved. Show less

    • Bayer

      Jun 2023 - Aug 2023
      Data Analytics Intern

      Worked on the Data Science and Analysis team at Biotech Research Center • Corresponded with the Biotech lab to understand automation tool requirements and background to achieve required impact.• Used Python for Image processing to detect patterns in an image provided by the lab. Solution’s POCallows bypassing of manual inspection and human error to reduce task processing from ~15 seconds to ~5 seconds.• Gathered machine log data and pre-processed them to required formats in R.• Used R Shiny library to create dashboard for adaptive visualization to give at-one-glance view at selected data for targeted insights into errors allowing quick responses and adjustments.• Wrote 9 functions in a package to generate graphs and charts for data within the dashboard.• Used Domino for end-to-end data science solution development, AWS and R Studio for cloud-based maintenance and execution of assignments.• Used Azure DevOps to maintain tasks for team reviews including feedback and progress reports in the form of PowerPoint presentations. Show less

  • Licenses & Certifications