JG

Jagesh Golwala

BCG | IIM Ahmedabad Institute Rank 2 PGP-1 | IIT Bombay | CAT 100%ile

Mumbai, Maharashtra

Invests in

Locations:

  • Min Investment:

    $250,000.00
  • Max Investment:

    $750,000.00
  • Target Investment:

    $500,000.00

Work Experience

  • Senior Associate

    2023

    Industry - Industrial Goods - Conceptualized and implemented the sales acceleration strategy for a large cement player in Madhya Pradesh

2021 - 2023

  • Student Venture Partner

    2021 - 2023

    Early-stage Venture Capital Fund - Sourced and evaluated 5+ early-stage start-ups across multiple verticals like health-tech, logistics-tech, ed-tech

  • Investment Intern

    2022 - 2022

    Live Project offered by FII Club at IIM-A Industries - Financial Services | QSR | TMT - Analysed companies in Financial Services, QSR and TMT sectors based in India and South-East Asia

  • Summer Intern

    2022 - 2022

    Received PPO Industry - Financial Services - Formulated and implemented the roadmap for Post-Merger Integration for Direct Channel of two insurance giants

  • Associate

    2019 - 2021

    Industries - Industrial Goods | Financial Services Function - Digital transformation | Cost optimization | Business strategy development

2018 - 2019

  • Teaching Assistant

    2018 - 2019

    Teaching Assistant for the course Data Interpretation and Analysis for 2nd year students.

  • Final Year Student + Research Student

    2018 - 2019

    Developing a stochastic learning algorithm that analyzes a user's online interests and with minimal feedback recommends an optimal personalized web-visiting sequence Analyzing the behavior of this algorithm while the learning process influences user's online interests

  • Exchange Student

    2017 - 2018

    1/2 students shortlisted by IIT-Bombay and KTH; completed Swedish Language A1 course

2017 - 2017

  • Internship

    2017 - 2017

    Studied the manufacturing process and recommended changes to decrease spoilage in the production lines Created Sensitivity Analysis for reduction in blade spoilage by diagnosing causes of quality defects Identified issues in the current manufacturing process and refined the existing standards by collaborating with lead technicians and using tools like Unified Problem Solving, Work Point Analysis and 6W-2H Achieved 2% increase in machine performance by implementing improvements in complex manufacturing $1M saving in recurring annual expense by attaining 10% reduction in spoilage in manufacturing process

  • Android Developer

    2016 - 2016

    Integrated graph algorithms in the existing SDK to provide faster on-device updates to walking paths Reduced server calls by 60% by incorporating Machine Learning for indoor location prediction

  • Android Developer

    2016 - 2016

    Integrated graph algorithms in the existing SDK to provide faster on-device updates to walking paths Reduced server calls by 60% by incorporating Machine Learning for indoor location prediction