CHIRANTAN MALLICK

Front-End Developer | AI Engineer | BCA Student

Bolpur, IN.

About

A driven BCA 4th Semester student with practical expertise in AI and front-end development, seeking to leverage a strong foundation in Python, NLP, and modern web technologies to build innovative solutions. Proven ability to design interactive UIs and implement AI-driven applications, demonstrated through a self-built Resume Screening System and a certified AI internship with Microsoft & SAP.

Work

Edunet TechSaksham (Microsoft & SAP CSR Initiative)

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Artificial Intelligence Intern

Remote, N/A, N/A

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Summary

Contributed as an Artificial Intelligence Intern for Edunet TechSaksham, focusing on transformative learning and real-world AI applications within a Microsoft & SAP CSR initiative.

Highlights

Successfully completed a certified AI internship focused on Transformative Learning, gaining practical experience in real-world AI application development.

Acquired hands-on proficiency in core AI concepts and tools, utilizing a specialized curriculum developed by Microsoft and SAP, endorsed by AICTE.

Cultivated advanced skills in AI-driven problem-solving and innovation, directly aligning with current industry demands and future technological trends.

Education

Seacom Skills University

West Bengal, West Bengal, India
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Bachelor of Computer Applications (BCA) – Regular Computer Applications Grade: 7.4 GPA

Languages

English

Hindi

Bengali

Certificates

Python Programming Masterclass

Udemy (Instructor: Makeintern Course)

Skills

Languages

C, C++, JavaScript, Python.

Frontend

React.js, HTML5, CSS3, Tailwind CSS.

AI & Libraries

NLP (TF-IDF), Cosine Similarity, scikit-learn, Pandas, Streamlit, PyPDF2, Artificial Intelligence, Machine Learning.

Database

MySQL.

Tools and Platforms

VS Code, Cursor, Replit, Jupyter Notebook, Git, GitHub, Firebase Studio, Vercel, Localhost, MySQL Workbench.

Projects

AI-Powered Resume Analyzer and Screening System

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Summary

Developed a comprehensive AI-powered web application designed to automate resume analysis and candidate screening, leveraging Natural Language Processing (NLP) and Machine Learning (ML) for efficient evaluation.