Summary
Overview
Work History
Education
Skills
PROJECTS
Accomplishments
Certification
HOBBIES
Languages
Timeline
Generic

ARJUN VATS

Noida

Summary

Dynamic and innovative professional with a proven track record at XEBIA, where I developed a cutting-edge face recognition-based attendance monitoring system using Python and OpenCV. Skilled in machine learning and problem-solving, I excel in teamwork and rapidly adapting to new challenges. Achievements include significantly enhancing attendance tracking accuracy and efficiency.

Overview

1
1
Certification

Work History

INTERN

XEBIA
06.2024 - 07.2024
  • Developed a face recognition-based attendance monitoring system to automate attendance tracking for improved accuracy and efficiency.
  • Utilized python and openCV for implementing real-time face recognition algorithms.
  • Integrated the system with a database to store attendance records securely and efficiently.

Education

Bachelor of Technology - Computer Science

MANAV RACHNA UNIVERSITY
Faridabad, India
06-2025

CBSE(XII) -

SRI VENKATESHWAR INTERNATIONAL SCHOOL
New Delhi, India
01-2021

CBSE(X) -

SRI VENKATESHWAR INTERNATIONAL SCHOOL
New Delhi, India
01-2019

Skills

  • Python
  • Java
  • C
  • DSA
  • CSS
  • HTML
  • Machine learning
  • Teamwork and collaboration
  • Quick learner
  • Problem-solving

PROJECTS

 REAL TIME VEHICLE TRACKING SYSTEM (09/2023 – 11/2023)

  • Building a web application that allows customers to track and locate their public buses for commuting.
  • The project was implemented using NODE.JS and REACT where I was independently managing the UI using HTML , CSS, and JAVASCRIPT.

 DISASTER TWEET MANAGEMENT USING NLP (03/2024)

  • Building a model that predicts the occurrence of any disaster around the world by processing of the tweets
  • This helps people to be aware of any natural calamity
  • Helps the emergency vehicles to coordinate and commute better.

LOAN SANCTION USING MACHINE LEARNING 

  • The objective was to create a predictive model that can assess the creditworthiness of loan applicants. This type of project aims to use historical data on loan applicants, including various attributes and their loan approval outcomes, to build a model that can predict whether new loan applicants are likely to be approved or denied based on their information.

Accomplishments

  • Gold in State bench press championship (2024)
  • Silver in State equipped bench press championship (2024)
  • Gold in National bench press championship (2024)

Certification

  • Relational Database Essential Training
  • User Experience for Web Design
  • UX Design for Developers
  • Machine Learning with Python Foundation
  • Machine Learning with Python Decision trees
  • Hands-On introduction: Java
  • C++ essential training
  • Java EE: Servlets and Java Server Pages (JSP)
  • Foreign Language Certification (FRENCH)
  • IP awareness / Training program
  • Data Science (IBM)
  • Networking Basics (CISCO)


HOBBIES

  • POWERLIFTING
  • POKER


Languages

English
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
French
Upper intermediate (B2)

Timeline

INTERN

XEBIA
06.2024 - 07.2024
  • Relational Database Essential Training
  • User Experience for Web Design
  • UX Design for Developers
  • Machine Learning with Python Foundation
  • Machine Learning with Python Decision trees
  • Hands-On introduction: Java
  • C++ essential training
  • Java EE: Servlets and Java Server Pages (JSP)
  • Foreign Language Certification (FRENCH)
  • IP awareness / Training program
  • Data Science (IBM)
  • Networking Basics (CISCO)


Bachelor of Technology - Computer Science

MANAV RACHNA UNIVERSITY

CBSE(XII) -

SRI VENKATESHWAR INTERNATIONAL SCHOOL

CBSE(X) -

SRI VENKATESHWAR INTERNATIONAL SCHOOL
ARJUN VATS