S NITHISH KUMAR

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Program: BS Degree in Data Science and Applications
Level: DEGREE

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About me

Dedicated and optimistic student passionate about exploring the frontiers of technology with a specific interest in modern application development and the evolving world of AI/ML. My journey as a dual-degree student at IITM and VIT has fueled my intellectual curiosity and honed my critical thinking skills. I'm a perpetual student, always eager to expand my knowledge and embrace new challenges.

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Contact Details

Phone number: +919443384403
Email address: 21f1006725@ds.study.iitm.ac.in

Education

Vellore Institute of Technology
Vellore, Tamil Nadu, India
Master of Technology (Integrated) - Software Engineering
2020 - present

Suguna PIP School
Coimbatore, Tamil Nadu, India
Class XII - Computer Science
2016 - 2020

Work

IIT Madras
Database Management System Mentor
Feb 2023 - Feb 2023

Curie Dx Laboratory
Human Resource Manager | Operations Analyst
Jan 2022 - Apr 2022

IIT Madras
Python Mentor
Aug 2022 - Sep 2022

Projects

MarketMate Grocery Store Application
CURRICULAR

MarketMate Grocery Store Application is a Modern Application Development project that aim to develop a robust and user-friendly online grocery shopping platform that enables customers to search and purchase groceries categorized for easy navigation and contains comprehensive features catering to both user and administrative needs providing a seamless and convenient way to shop for groceries. This project is developed using Python, Flask, Flask-SQLAlchemy, Flask-Security, VueJS, Celery and Redis.


Inventory Demand Forecasting for a Motorcycle Company
CURRICULAR

Inventory Demand Forecasting for a Motorcycle Company is a Business Data Management project which is focused on optimizing and forecasting the inventory demand for spare parts of a motorcycle company named MR Motors. The objective of the project is to predict the stock demand for spare part required. This will assist the company in managing the inventory and placing orders for spare parts resourcefully, which in turn optimizes the investment and improves the overall profitability of the company.