Sawankumar Gupta

Sawankumar Gupta

Information Technology undergraduate · Full-stack and Machine Learning enthusiast

Mumbai, Maharashtra, India

@sawan_gupta

0 followers

Looking for internships

🎓 Bachelor of Engineering in Information Technology at University of Mumbai · Graduated 2024

About

Information Technology undergraduate with strong academics and foundational knowledge of machine learning, databases, and full-stack development. Has hands-on project experience with Python, React, FastAPI, MongoDB, and scikit-learn, plus internship exposure to database systems at CSIR-CSIO.

Experience

  • Summer Intern
    CSIR-Central Scientific Instruments Organisation (CSIO)
    Jun 2026 – Jul 2026

    Completed a summer internship in a professional research environment, gaining practical experience with DBMS concepts, structured data handling, data organization, and database workflows.

Education

Skills

  • C 1 to 2 years
  • CSS 3 to 6 months
  • Data Analysis <3 months
  • Data Preprocessing <3 months
  • FastAPI <3 months
  • HTML 6 to 12 months
  • Python <3 months
  • Machine Learning <3 months
  • JavaScript <3 months
  • Feature Engineering <3 months
  • Matplotlib <3 months
  • NumPy <3 months
  • Pandas <3 months
  • scikit-learn <3 months
  • React <3 months
  • Seaborn <3 months
  • Supervised Learning <3 months
  • Unsupervised Learning <3 months
  • SQLAlchemy <3 months
  • Oop 6 to 12 months
  • Advanced DBMS <3 months

Tools / apps / platforms

  • Git <3 months
  • MongoDB <3 months
  • PostgreSQL <3 months
  • VS Code <3 months

Languages

  • English Speak
  • Hindi Speak

Projects

  • React, FastAPI, MongoDB, Python, scikit-learn

    Developed a full-stack dropshipping e-commerce platform with customer shopping features, order management, admin dashboard, MongoDB database, and machine learning features such as product recommendations, demand forecasting, customer segmentation, and review sentiment analysis.

  • Python, Machine Learning, FastAPI, React, SQLAlchemy, Pandas

    Built a road safety analytics project to analyze accident data, identify high-risk areas, and predict accident severity through an interactive dashboard.

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