Harsh Garg

An innovative and pragmatic individual having an entrepreneurial mindset.

Currently, Looking to pursue a career in Finance mainly in equity research, or investment analysis, backed by CFA Level 1 success.

Resourceful with an analytical mindset; researching well to ensure best practice followed. Shares knowledge when appropriate.

Being an entrepreneur has been one of my dreams and therefore I had launched my startup in the FMCG industry.

1) Engineering Intern, Tata Technologies Ltd., Pune, India (11/2020 - 02/2021)

• Worked in the additive manufacturing domain, specifically for Topology Optimization, Lattice Optimization & Generative Design.

2) Project Intern, Elite Techno Groups, Pune, India (01/2019 - 02/2019)

• The team designed & built a fuel-driven pro-kart
• Part of Chassis Development Team
• Inventory Head

• Data Analysis & Interpretation Specialization, Wesleyan University
• Business Statistics & Analysis Specialization, Rice University
• UIUX Basics, LinkedIn Learning
• Python & Core JavaTraining, UDEMY
• An Entire MBA in 1 course, UDEMY

Title - Topology Optimization of Foot Pedal Using Generative Design Approach

• Name of Journal - International Journal of Contemporary Architecture
• Focuses on possibilities that could replace traditional designs.
• Focuses on optimization of conventional mechanical components into a more efficient design.
• Design model was rendered safe by the Altair Inspire Software. This implied that 3D printing of the model is possible.

1) Smart Traffic Signal - The aim of this project was to adjust the traffic signal timer  according to the traffic size.

2) Airport Design and Passenger Management - I had proposed 2 different models to improve the design of airport  so as to manage the passenger bottlenecks.

3) Heart Disease Prediction - A lot of data pre-processing techniques were required after which  classification algorithms were used to predict the results for the  test dataset. The dataset was taken from Kaggle website.

4) Final Year Project -Topology Optimization of Foot Pedal  Using Generative Design Approach - This project focused on optimization of conventional mechanical  models (foot pedal) into a more efficient design in terms of cost,  material, time and productivity.