RESUME
Subham Chakraborty

SKILLS

  • •
    Programming Languages : C, Pyhton
  • •
    Frontend Technologies : HTML, CSS, Bootstrap
  • •
    Backend Technologies : Python (Django), Node.js (Basic)
  • •
    Database : MySQL
  • •
    Tools & Technologies : Git & GitHub, VS Code, Cursor
  • •
    Core Concepts : Data Structures & Algorithms (Basic), DBMS, Operating Systems

certificates

LANGUAGES

  • •
    Bengali (Native)
  • •
    Hindi (Intermediate)
  • •
    English (Intermediate)

Interest

  • •
    Building real-world projects.
  • •
    Learning new programming technologies.
  • •
    Exploring software development tools.
  • •
    Continuous skill improvement

Personal Info

  • •
    DOB : 11/10/2000
  • •
    Marital Status : Single

Subham Chakraborty

Full-Stack Developer | Python & Django Enthusiast

9163565682
placement@webskittersacademy.in
Asansol 2.No Mohishila colony, khejur tala more, Ramkrishna sarani, Asansol West Bengal 713303, India
https://www.linkedin.com/in/subham-chakraborty-0b246726b

PROFILE

Aspiring Full-Stack Developer with strong proficiency in Python and a solid foundation in web development technologies. Experienced in building real-world projects using Django, HTML, CSS, and JavaScript. Passionate about developing scalable applications, writing clean and efficient code, and continuously learning modern technologies. Seeking an opportunity to contribute to innovative projects and grow as a software developer.

Personal Project/s

Project Name :

Job Finder Portal

Project Url :

https://tinyurl.com/26eklve9

Github link :

https://tinyurl.com/29w7lbu5

Description :

Developed a full-stack Job Finder Portal to connect job seekers with recruiters. Implemented user authentication, job posting, and application features for a seamless hiring process. Designed a responsive and user-friendly interface using modern web technologies. Integrated backend services and database management to handle user data efficiently.

Project Name :

Crop Recommendation System Using Machine Learning

Project Url :

https://tinyurl.com/2726nqyz

Github link :

https://tinyurl.com/2bchh8yh

Description :

Developed a Crop Recommendation System using machine learning techniques to suggest suitable crops based on environmental and soil parameters. Performed data preprocessing, model training, and evaluation to improve prediction accuracy. Designed a simple user interface for easy input and result visualization.

Experience/s

EDUCATION

BCA (Bachelor in Computer Applications) (9.32 (CGPA))

2022

MCA (Master of Computer Applications) (7.80 (CGPA))

2024
Logo