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DebarjunChakraborty/README.md

MSc Data Science & Artificial Intelligence | Newcastle University
Aspiring Graduate Machine Learning Engineer / Data Scientist (UK 2026 Intake)

Current Research

A. Machine Learning Research Intern (Newcastle University)

• Addressed critical data gaps in IoT water networks by engineering deep learning pipelines RNNs and LSTMs to reconstruct missing readings, targeting an 85% Data Success Rate to optimize leak detection.

• Developed hands-on expertise in preprocessing raw time-series data and validating model performance against industry benchmarks (RMSE/MAE) for predictive maintenance.

Tech stack: Python, TensorFlow, PyTorch, RMSE, MAE, Time-Series Forecasting, Data Cleaning.

B. Data Analytics Studentship, Newcastle University

• Resolved data accessibility bottlenecks by designing automated management dashboards that visualized complex library usage statistics, transforming raw logs into actionable insights for strategic decision-making.

• Developed skills in data structuring within digital systems and translating administrative data requirements into automated business intelligence outputs.

Tech stack: Power BI, DAX, Python, R, Data Modelling, Statistical Analysis, Data Visualization.

What I Bring to a Graduate Role

• End-to-End ML Lifecycle Experience - Data Cleaning → Feature Engineering → Model Development → Validation → API Deployment
• Strong Python & SQL Foundation
• Scalable Data Processing - PySpark for distributed feature engineering
• Deployment & MLOps Fundamentals - Flask APIs, CI/CD, GitHub Actions
• Business & Stakeholder Awareness - Built Power BI dashboards for institutional decision-making

Projects

🔹 Healthcare Pricing Prediction (95% Accuracy) - Random Forest model deployed via Flask API
🔹 Breast Cancer Classification (>95% Test Accuracy) - Feedforward Neural Network using TensorFlow
🔹 Environmental Pollution Classification - 23k+ records cleaned, validated & modelled in R
🔹 Energy & Carbon Emissions Dashboard (UK Housing) - Power BI analytics supporting sustainability insights

I am particularly interested in roles involving:

• Machine Learning Engineering
• Data Science & Predictive Modelling
• AI for Environmental & Infrastructure Systems
• Data Engineering supporting ML systems

Open to UK and Europe based graduate opportunities starting 2026.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

HTML5 CSS3 JavaScript PHP Python PowerShell Markdown R Render Keras Matplotlib mlflow NumPy Pandas Plotly PyTorch scikit-learn Scipy TensorFlow Apache Hadoop Flask MongoDB MySQL Figma Canva CircleCI GitHub Actions Git GitHub Power Bi Postman

📊 GitHub Stats:



🏆 GitHub Trophies

🔝 Top Contributed Repo

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  1. Humara_Swasthya_Our_Health Humara_Swasthya_Our_Health Public

    Democratizing health insurance with ML for rural communities; transparent premium estimates using demographics & health data.

    Jupyter Notebook

  2. QuickAttend QuickAttend Public

    QR-based attendance system to automate tracking, reduce admin effort, and maximize instructional time in educational settings.

    HTML

  3. Weather_Advisory Weather_Advisory Public

    Real-time weather forecasting platform for farmers and fishers | Reliance Foundation Internship (Nov–Dec 2023)

    PHP

  4. Breast-Cancer-Classification-with-Neural-Network Breast-Cancer-Classification-with-Neural-Network Public

    Neural network-based classifier to distinguish between benign and malignant breast cancer cases.

    Jupyter Notebook

  5. EDA-and-Feature-Engineering EDA-and-Feature-Engineering Public

    Exploratory Data Analysis and Feature Engineering on diverse Kaggle datasets using Python.

    Jupyter Notebook

  6. IBM-Data-Science-Specialization IBM-Data-Science-Specialization Public

    Assignments, projects, and course files for the IBM Data Science Professional Certificate on Coursera.

    Jupyter Notebook