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TB

Tannistha Bhattacharya

Computer Science undergraduate · AI/ML, Computer Vision & IoT

West Bengal, India

@tannistha_bhattacharya

LinkedIn GitHub

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🎓 B.Tech in Computer Science and Engineering at Institution of Engineering and Management, Kolkata · Graduating 2028

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About

Computer Science undergraduate with hands-on experience in machine learning, computer vision, IoT, and applied research. Works on data-driven projects involving geospatial analysis, SAR imagery, and AI-based system development.

Education

  • B.Tech
    Institution of Engineering and Management, Kolkata
    Computer Science · Jul 2024 – Jul 2028
  • Senior Secondary
    Hem Sheela Model School
    2022 – 2024
  • Secondary
    Hem Sheela Model School
    2022

Skills

1 to 2 years 1 to 2 years A year or two of steady use.
SQL CSS3 HTML5 Python
3 to 6 months 3 to 6 months A few months of practice with it.
Java
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
C I2C PyTorch Research TensorFlow Deep Learning Computer Vision Neural Networks Data Annotation Machine Learning Data Preprocessing Sensor Integration Image Segmentation Technical Documentation

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub Arduino VS Code Microsoft Excel JetBrains IntelliJ IDEA

Projects

  • Mudra Gatha
    Python, SQL, Computer Vision, Numismatic Dataset

    AI-driven Indian numismatics research project building a database of 500+ historical coins across 7 Indian dynasties and classifying metallurgical and inscriptional data.

  • Weather Detector
    Arduino Mega 2560, BME680, C++, I²C, HTML/CSS

    Real-time IoT atmospheric monitoring system with a web dashboard for temperature, humidity, VOC monitoring, calibration, and visualization.

  • SAR Crop Segmentation
    Python, PyTorch, Prithvi EO v2, UperNet, SAR Data

    AI-based multi-class segmentation using 6-channel SAR imagery with Lee filtering, CLAHE, augmentation, and Focal-Dice loss.

  • FloodGuard AI
    Python, Machine Learning, Geospatial Data, Neural Networks

    ML-based early-warning flood prediction framework using geospatial and time-series data with a preprocessing and model-training pipeline.

Courses & certifications

  • Innovation and Entrepreneurship Development Cell · IEDC
  • ChatGPT playground for beginners · Coursera
  • Introduction to Python programming · Coursera
  • Programming in Java · NPTEL

⚽ Extracurricular activities

  • Dance
  • Yoga
  • Badminton

📚 Publications

  • Mudra Gatha — Predictive Framework for Multi-Era Indian Numismatics

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