Vishal Sharma

Vishal Sharma

Business Development Intern

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location of Vishal SharmaDelhi, India

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  • Timeline

  • About me

    Data Science @ QuantumBlack, AI by McKinsey

  • Education

    • Delhi College of Engineering

      2017 - 2021
      Bachelor of Technology - BTech Electrical Engineering
    • The Air Force School (TAFS), Subroto Park

      2004 - 2011
    • Kendriya Vidyalaya

      2011 - 2017
  • Experience

    • Urban Company

      Dec 2017 - Jan 2018
      Business Development Intern

      I was part of the Business Development- Sales team and was responsible for the verification and addition of 1000+ professionals on the UrbanClap platform.

    • INFERNO DTU

      Jan 2018 - Aug 2020

      Led a team of 30+ undergraduate students from diverse engineering backgrounds to develop the University's first-ever Mars Rover Prototype- A.R.G.U.S (2019) and the enhanced second iteration- XLR8 (2020).

      • Lead Electrical Engineer

        Aug 2019 - Aug 2020
      • Electrical Engineer

        Jan 2018 - Aug 2019
    • Power8

      Jun 2019 - Aug 2019
      Hardware Development Intern

      My primary goal was to develop scalable and reliable IoT and IIoT solutions.

    • CivilCops

      Dec 2019 - Jan 2020
      Business Operations Analyst

      Analyzed daily, weekly & yearly platform usage of each client to define the best possible pricing model, hence increasing the estimated yearly revenue by 26%.Optimized the Sales Pipeline including client identification, profiling, demonstration & procurement, thereby increasing the number of new clients reaching the demonstration stage by 15% on a monthly basis.Defined the Hiring Pipeline including CV shortlisting, interviewing & on-boarding, managing the hiring of 15 interns & 1 FTE while also decreasing the average onboarding time for a position by ~2 days. Show less

    • KU Leuven

      May 2020 - Sept 2020
      Research Intern (MICAS)

      Project Repository: https://github.com/VishalSharma0309/nano_drone Working on the development of an autonomous sub-25g nano drone with an end-to-end closed-loop visual pipeline using DroNet (based on CNN) within 64-284mW with a throughput of 6-18 fps.

    • Fractal

      Jul 2021 - Oct 2022
      Analyst- AI@Scale, Machine Vision and Conv. AI
    • McKinsey & Company

      Oct 2022 - now
      • Data Scientist II

        Jan 2024 - now
      • Data Scientist I

        Oct 2022 - Jan 2024
    • QuantumBlack, AI by McKinsey

      Oct 2022 - now
      • Data Scientist II

        Jan 2024 - now
      • Data Scientist I

        Oct 2022 - Jan 2024
  • Licenses & Certifications