About me

My name is Rahul Kumar.I am currently studying in Eletrical Engineering Department of National Institute of Technology, Silchar. Throughout my academic journey, I have developed a solid foundation in various aspects of engineering. In addition to these experiences, I have a strong foundation in various programming languages, including c, c++, JavaScript, SQL, etc. During my studies, I completed an completed HTML, CSS, bootstrap, etc.My strength is I am self-motivated and a hard worker.

My long-term goal is to achieve a higher position in my career, and my short-term goal is to gain practical experience, which will help me achieve my long-term goal.

What i'm doing in college

  • design icon

    Web designing

    The most modern and high-quality design made.

  • Web development icon

    Web development

    I am Front-end developer.

  • mobile app icon

    Coding

    I am doing intermediate type of problem.

  • mobile app icon

    Data Analyst

    I am doing intermediate Project on Data Analysis prospective.

  • mobile app icon

    UI/UX Designer

    I am doing Website Design.

  • camera icon

    Photographying

    I make high-quality photos of any category at a professional level.

Resume

Education

  1. National Institute of Technology, Silchar Assam, India

    Bachelor of Technology - Eletrical Engineering; CGPA: 7.24

    July 2022 — July 2026
  2. Pragya Bharti Public School, Alipur Bihar, India

    HSC/12th ; Percentage: 75%

    March 2019 — March 2021
  3. Pragya Bharti Public School, Alipur Bihar, India

    March 2016 — March 2019

    SSC/10th ; Percentage: 85.2%

    March 2019 — March 2021

Project

  1. Credit Card Fraud Detection Using ML - NIT SilcharJune 2025 - July 2025

    Satyendra Nath Bose Summer Internship Program 2025 - NIT Silchar

    GitHub

    ◦ Guided By: Dr. Vipin Chandra Pal

    ◦ Fraud Detection Model: Built a machine Learning model using Logistic Regression,SVM and Decision Tree to detect on a dataset of 284,808 transactions, including 492 Fraudulent cases.

    ◦ Data Preprocessing: Performing data cleaning, feature scaling and applied SMOTE to address class imbalance, improving recall from 72% to 94%.

    ◦ Tools & Techniques: Using Python, pandas, scikit-learn, matplotlib and Github for model development, evaluation, visualization and version control.

  2. Super Store using Power BI July 2025 - July 2025

    Under Own

    GitHub

    ◦ Dashboard Model: A store sales prediction project using Power BI involves creating a dashboard to analyze historical sales data, identify trends, and forecast future sales. Power BI’s forecasting capabilities allow for data-driven decision-making regarding inventory, marketing, and operations.

    ◦ Platform used: Tableau

    ◦ Technologies and Tools: SQL

  3. Road Accident DashboardMarch 2025 - March 2025

    Under own

    GitHub

    ◦ Dashboard Model: Stores the data of Road Accidents in Database in which we can analyze the road accidents in different vehicles likes cars, bikes, etc in different years and compare the data from previous years.

    ◦ Platform used: Tableau

    ◦ Technologies and Tools: SQL

Position of Responsibilities

  1. Member of IEI Student's ChapterJuly 2022 - July 2026

  2. Technical Member, Electra Society, NIT SilcharJuly 2023 - July 2024

  3. Member of IEEE SocietyJuly 2024 - July 2025

My skills

  • WEB DESIGN
    80%
  • UI / UX DESIGN
    90%
  • FRONT-END DEVELOPER
    70%
  • C++ (DSA)
    25%
  • SQL
    70%
  • DATA ANALYST
    70%
  • MATLAB
    50%
  • NODEJS
    40%
  • PHP
    20%

Contact

Live Location

Contact Form