About me

I'm a Data Scientist and Software Developer from India, specializing in Machine Learning, Data Engineering, and AI-driven solutions. I enjoy solving complex problems and creating efficient, scalable systems.

My goal is to develop intelligent systems that enhance decision-making and improve user experiences. I have worked on projects involving predictive maintenance, multi-agent AI systems, real-time data analytics, and resume analysis.

What I'm doing

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    Machine Learning & AI

    Developing AI-driven solutions for predictive maintenance, anomaly detection, and automation.

  • Web development icon

    Web Development

    Building dynamic and scalable applications using Python, Flask, and Streamlit.

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    Data Engineering

    Designing ETL pipelines, real-time data analytics, and cloud-based solutions.

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    AI Research

    Exploring and implementing state-of-the-art AI models for various industries.

Testimonials

  • Nikhil Kamble

    Nikhil Kamble

    Surjya was hired for an AI/ML project. His expertise in machine learning and data science was crucial in delivering an efficient solution. Highly recommended!

  • Sakshi Mishra

    Sakshi Mishra

    I collaborated with Surjya on a data analytics project. His problem-solving skills and ability to work under pressure were impressive. A great team player!

  • Emily Evans

    Emily Evans

    Surjya's knowledge of AI and ML models helped us optimize our processes significantly. His ability to implement efficient algorithms is outstanding!

  • Henry William

    Henry William

    Surjya played a vital role in our predictive maintenance project. His expertise in data pipelines and model deployment ensured the project's success.

Resume

Education

  1. University of Engineering & Management, Kolkata

    2021 — 2025

    Bachelor of Technology in Computer Science & Engineering.

Experience

  1. Data Science Intern - Code Alpha

    Aug 2024 — Sep 2024

    Worked on machine learning models, data preprocessing, and predictive analysis.

  2. Data Science Intern - CodeInterns

    Sep 2024 — Oct 2024

    Developed classification models and worked with real-world datasets to enhance model accuracy.

Projects

  1. Titanic Classification

    Developed a machine learning model to predict Titanic survivors using feature engineering and classification algorithms.

  2. Heart Disease Prediction

    Implemented an artificial neural network (ANN) to predict heart disease using patient medical data.

  3. Google Play Store Data Analytics

    Analyzed real-time Google Play Store data to extract insights into app performance, user behavior, and market trends.

  4. Predictive Maintenance with Machine Learning

    Developed an ML-based predictive maintenance system using anomaly detection and failure prediction for industrial applications.

My skills

  • Python
    90%
  • Machine Learning
    85%
  • Deep Learning
    80%
  • SQL
    75%

Blog

Contact

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