About Me

Hello there! I'm Anmol Jaiswal, a passionate and ambitious 4th-year B.Tech student majoring in Computer Science and Engineering. During my academic journey, I have developed a strong foundation in computer science fundamentals and honed my technical skills in areas such as programming languages, data structures, algorithms, and software development. I am also part of Graphic Era Hill University tech community, contributing to various tech events and projects. As I approach the final year of my B.Tech program, I am eagerly seeking internships and projects that will provide me with practical industry experience and the opportunity to apply my knowledge to real-world challenges. I am particularly interested in Web Development and Machine Learning, and I am eager to explore the intersection of technology and innovation.

  • HTML / CSS / JavaScript
    Web Devlopment
  • C / C++ / CoreJava
    Programming Languages
  • Android Studio, Git, Atlassian Confluence Space, VS Code, Anaconda (Spyder).
    Developer Tools
  • DSA, DBMS, OOPS, Computer Networks, Operating System, Machine Learning.
    Course Fundamentals
  • ◦ Virtual Internship Program - Full Stack Development
  • ◦ TATA Crucible Campus Quiz Cluster Finalist 2023
  • ◦ Artificial Intelligence and Machine Learning Fundamentals - @Cadence
  • ◦ India_Internship_GEHU_CYBERSECURITY_ESSENTIALS1 - Cisco
  • ◦ 700+ Coding Questions across platforms like LeetCode, GFG and Coding Ninjas
  • 2020-2024
    B.TECH in Computer Science - 8.75 SGPA
    Graphic Era Hill University Dehradun
  • 2019
    12th C.B.S.E - 89.2%
    Bethany Convent Sr. Sec. School
  • 2017
    10th C.B.S.E - 9.2 CGPA
    Bethany Convent Sr. Sec. School

Work Experience

Software Engineer Intern - Cadence Design Systems

Know more

Web Development Intern - CodeClause

Know more

Mentee (Apprenticeship) - Amazon ML
Summer School

Know more

Projects

EmoSupport: A Comparative Study for the Analysis of Mental Health of Undergraduate Students

Iot Botnet Classification and Detection

Developed and compared multiple Machine Learning models to detect malicious and benign traffic in various IOT devices like webcam etc.

Credit Card Fraud Detection

Developed a Machine Learning model for testing whether the fraud has occurred or not using Logistic Regression achieving a accuracy rate of 94%.

Gym Portal Landing Page

Designed and developed an Frontend Website of a Gym Portal using HTML, CSS, and JavaScript.

Mental Health Quiz App

Create a user-friendly mental health quiz app using Kotlin to assess and promote mental well-being through engaging questions and insightful feedback.

Analog Clock

Build an elegant analog clock using HTML, CSS, and JavaScript for a visually appealing representation of time.

Coding Profiles

Leetcode

Click Here

GeekForGeeks

Click Here

Coding Ninjas

Click Here

Contact Me

anmoljaiswal012001@gmail.com

6394148872

Resume