Ved Pratap

 vpratap8340400@gmail.com

Ved Pratap

 vpratap8340400@gmail.com

SDE @ Open. Python Developer. Machine Learning.

©Ved Pratap Last update : July/25/2024 22:57

About Me:

I am Ved Pratap, a Physicist (PU), Data Scientist and Programmer from IIT Madras, India. Currently gaining experience in Python, Flask, Vue.js and Backend Technologies including Machine Learning. I like to explore technologies and keep on developing new projects.

I developed a keen interest in Data Science and Machine Learning so I have started studying and implementing different algorithms and analysing various datasets and started competitions on Kaggle.

Education:

BS in Data Science and Applications

Indian Institute of Technology, Madras (IITM)

2021 - 2025 (4 Yrs)
CGPA: 8.24

Master of Science, Physics

Department of Physics, Patna University (PU)

2021 - 2023
Grade : Distinction

Bachelor of Science (Honours), Physics

Patna Science College, Patna University (PU)

2018 - 2021
Grade: Distinction

All India Senior School Certificate Examination (AISSCE)

Gyan Niketan, Patna, Bihar

March 2016 - March 2018
Grade: A

All India Secondary School Examination (AISSE)

Bal Vidya Niketan, Jehanabad, Bihar

March 2014 - March 2016
Grade: A+

Primary School

Manas International Public School, Jehanabad, Bihar

March 2009 - March 2014

Skills:

Programming Languages:

• Python • C • C++ • Java • R • PHP • Ruby • C# • .net

Data Science/Management:

• Machine Learning • Business Data Management • Business Analytics • SQL • MongoDb

Python Libraries:

• NumPy • Sklearn • Pandas • SciPy • Matplotlib

Web Technologies:

• HTML • CSS • JavaScript • Flask • Django • Vue.js

Operating Systems:

• Windows • Linux (Ubuntu) • Mac OS

Others:

• Git • Scilab • Github

Projects:

Taxi Fare Guru: Total Amount Prediction Challenge

Python, Machine Learning

  • Developed and implemented predictive models leveraging machine learning algorithms to forecast taxi fare amounts with 94% accuracy, exceeding baseline models by 32%.
  • Analyzed and processed 26.3 MB of historical taxi ride data using Python and SQL, identifying key features that significantly influence fare prediction accuracy.

Grocery Store application - Web Development

Python, Flask, HTML, VueJs, JavaScript, CSS & Bootstrap

  • Developed a multi-user application facilitating the buying and selling of groceries and enhanced user experience by 80% by implementing search/filter functionalities using VueJS.
  • Architected APIs with Flask, utilized SQLite for database management and upgraded the styling by 90% by employing Bootstrap.
  • Optimized application performance by 60% by implementing Redis for caching, and utilized Redis with Celery for the execution of batch jobs.

Quantified Self App - Web Development

Python, Flask, HTML, CSS & Bootstrap

  • Created a user-friendly web application platform for personalized self-tracking.It will grow the efficiency and scalability of manual tracking by 90%
  • Optimized the web page styling and responsiveness by 90% by using Bootstrap as a CSS framework.
  • Intensified the interaction with the database by 80% by employing SQLite as a key step for structured data storage solutions.

Restaurants Management System - Self Project

Vue.js, HTML, CSS, Axios, json-server

  • Designed a simple CRUD web application for restaurant data management and boosted the user experience by 85% by utilizing VueJs.
  • Increased the application’s visual appeal and user experience by 90% by leveraging Bootstrap.
  • Escalated the data interaction and integration by 80% by ensuring smooth communication between the front-end and backend using APIs.

… See all projects

Certifications:

Programming in Python

SWAYAM MHRD, April 2023

Programming in C

Infosys Springboard, February 2023

Microsoft Azure Data Fundamentals (DP-900)

Microsoft, January 2023

Programming in Java

NPTEL, IIT Madras, October 2022

… See all certifications

Achievements:

Academic Achievements:

Extra Curricular Activities: