Tushar Supe | 21F1003637

Indian Institute of Technology Madras

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EDUCATION

Program

Institution

%/CGPA

Year

*B.S. in Data Science and Applications

Indian Institute of Technology Madras, Chennai

9.2/10

2023

B.Tech. in Mechanical Engineering

Visvesvaraya National Institute of Technology, Nagpur

8.12/10

2019

STD XII

Shri Shivaji College of Science, Akola

93.08%

2015

**STD X 

Bal Shivaji High School, Akola

98.73%

2013

* Achieved perfect score in 60% of the courses

** Stood 2nd in Maharashtra State Board and 1st in Amravati Division in STD X examination

 

PROFESSIONAL EXPERIENCE

Larsen & Toubro Limited, Digital Solutions, PT&D IC (Internship)

(Aug’22 – Oct’22)

Topic: EV Analytics – Charge Point Operator’s (CPO) Perspective

  • Artificially generated data for EV charging stations to optimize grid power consumption; cleaned and modified the data as per various use cases.
  • Developed a web-based dashboard for CPO which included various visualizations e.g. bar chart, line plot, sunburst chart to provide valuable insights at the descriptive and diagnostic levels.
  • Effectively reduced wait time for charging, balanced the on grid & off grid power consumption to maximize the revenue and customers served.

 

Reliance Industries Ltd., Hazira Manufacturing Division, Surat

(Jul’19 – Sep’20)
  • Mechanical Maintenance Graduate Engineer Trainee (GET)

 

Reliance Industries Ltd., Hazira Manufacturing Division, Surat (Internship)

(May’18 – Jul’18)
  • Design and analysis of blower impeller for Styrene-Butadiene Rubber (SBR) plant

 

 

PROJECTS

Online Support Ticket System

(Jan'23 – Apr'23)

Frameworks

:

Python, Flask, REST API, SQLite DB, and Vue (JS)

Key features

:

JWT for authentication, automated email notifications, dynamic search and filter, robust API

Tools

:

Miro

:

To create Storyboards and Wireframes

JIRA

:

To plan sprints and monitor project progress

GitHub 

:

For issue tracking and collaborative work

Swagger

:

To design and document API

Insomnia

:

To test API endpoints

PyTest

:

For unit testing


Description

:

Students can create, edit, and delete ticket. They can include relevant attachments with the ticket. They can look for a ticket and give it an upvote to prioritize it. The support staff can resolve the tickets. Admins can validate new users' accounts and create FAQs for the most popular tickets.

 

Data Visualization for Mask Manufacturers

(Feb’23 – Apr’23)

Frameworks

:

Python, Jupyter Notebook, Matplotlib, Plotly, Pandas, and Figma

Description

:

Analysed the data regarding masks such as mask features, price, reviews, and manufacturers. Carried out various visualizations to determine the most popular masks, reason for popularity, and ways to improve the quality to boost sales.

Flash Cards Web App

(Sep’21 – Apr’22)

Frameworks

:

Python, Flask, REST API, SQLite database, and JavaScript with Vue

Key features

:

Token based authentication, report card generation, email alert notifications, and practice reminders

Description

:

User can create, delete, import, export flashcards and can practice anytime anywhere

 

Coding Puzzles Android App

 

(Dec’21 – Jan’22)

Frameworks

:

Android studio with Flutter, Firebase cloud database

Key features

:

Data synced with real-time cloud database. Login, Logout, and progress reset features

Description

:

User needs to rearrange code lines to get desired output. User can also practice quizzes for coding languages like HTML, CSS, JS, Python, Java, SQL. App can be used anytime anywhere

 

Save The Pod Python Game

 

(Jun’22 – Jul’22)

Frameworks

:

Python, PyGame

Key features

:

Multiple levels, User friendly game, Impressive animations and music

Description

:

Player needs to manoeuvre space pod to avoid meteorites while collecting stars

 




 

SKILLS

Languages 

:

Python, JavaScript, Java, SQL, C, Dart, Bash

Frameworks/Tools

:

Keras and TensorFlow, NumPy and SciKit Learn, Plotly, Dash, PyGame, SQLite, Flask, Vue, Flutter, Git, GitHub, Jira, Miro, Swagger, Insomnia, Arduino

Skills 

:

Data Analysis and Visualization, Convolutional Neural Network (CNN), Natural language processing (NLP), Generative Adversarial Networks (GAN), Reinforcement Learning (RL), Web Scrapping

 

CERTIFICATIONS

COURSERA
  • IBM Data Science Specialization
  • AI Foundations for Everyone Specialization
  • IBM Applied AI Specialization
  • Applied Data Science Specialization
  • Deep Learning Specialization
  • DeepLearning.AI TensorFlow Developer Specialization
  • Reinforcement Learning Specialization
  • Python for Everybody Specialization
  • Build Generative Adversarial Networks

 

LINKEDIN 
  • Become a Data Scientist
  • Become a Data Analyst
  • Master SQL for Data Science
  • Master Python for Data Science
  • Master Excel for Data Science
  • Become a Six Sigma Yellow Belt

 

 

CO-CURRICULAR & EXTRA-CURRICULAR ACTIVITIES