Close

Prateek Sahu

Computer Science Student

Download Resume

About Me

My name is Prateek Sahu. I am Computer Science student at National Institute of Technology ,Karnataka (NITK). My areas of interest are Data Structure and Algorithms, Graph Theory , Deep Learning , Computer Vision , Software Development. I love to code and learn new skills. My Passion is to leverage power of computers to solve real world problems . I am also open to new opportunities and challenges that come in way to do so.

Experience

ISTE NITK

Executive Member

Iste is one of the oldest technical clubs in NITK. Besides organizing technical and cultural events and competitions for students of the institution. we also host a range of workshops and educational seminars.

Technites Engineer-2018

Executive Member

Engineer is the official techfest of NITK, conducted every year. Technites commitee in responsible for creating and admintrating various projects realted to Computer Science.

Education

National Institute of Technology, Karnataka

August 2017 - present

Bachelor of Science in Computer Science

Course Undertaken(Selected): Data structure And Algorithm, Design And Analysis of Algorithms, Operating Systems, Data Communication, Object-oriented Programming(in Java), Concrete Mathematics. CGPA: 9.02/10

St. Paul Sr. Secondary Co-Ed School, Bhopal

April 2014 - March 2017

Class 12th and 10th from CBSE

Projects

Friends of Farmers Android App

Attempt to build an Android App that will allow farmers to directly sell their crops to customers without the interference of any middleman. App had functionalities such as allowing farmers to view and change crop stock and price. Also, farmers can see the details of customers who have ordered a specific item from him.The app will also allow the user to purchase crop from different farmers, get deals of the day and rate farmers based on their experience.

View Project

Text Analysis:

Using Natural Language Processing with NLTK, building a model to automate the task of summary making. Input to the model is long text and it produces a summary that best fits with text. We have compared two models of extractive summarization namely Word frequency model and TFIDF model.

View Project

Financial Management Web App(FIMA)

FIMA is a free app that allows consumers to split expenses with friends. The app is a useful way to keep track of informal debts including the cost of rent, dining and travel expenses, bills, and more. This service eliminates the need to keep receipts because a user can add any expense to the app as soon as the cost is incurred. FIMA ensures that a person who pays is reimbursed the correct amount and with a minimal number of transactions.

View Project

Skills

Get in Touch