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bidhan017/README.md

Bidhan Chandra Roy

Data Science | AI Enthusiast | Apache Spark Developer

I am a Data Scientist with strong experience in data engineering, especially Apache Spark, PySpark, and Azure Databricks. With a Master’s degree from the Technical University of Dortmund and over 3 years of experience, I’ve worked on scalable data pipelines, spark optimization, anomaly detection, time-series modeling. I’m passionate about designing robust, high‑performance data systems and applying AI through RAG architectures, agents, and MCP to deliver intelligent, production‑ready solutions.

About Me

  • Current Role: Data Scientist/Engineer at Daimler AG
  • Past Experience: Data Engineer Intern at Henkel, Machine Learning and Data Engineering roles in industry and academia, including Intel and research institutes
  • Focus Areas: Feature Engineering, Time series modelling, Anomaly detection, ETL workflows, Generative AI, LLM-based applications (LangChain, RAG)

Tech Stack

  • Languages: PySpark, Python, R, SQL
  • ML/AI Tools: Scikit-learn, PyTorch, LSTM/GRU, Autoencoders, Gurobi
  • Big Data & Cloud: Azure Databricks, Apache Spark, GCP, Snowflake, BigQuery
  • Visualization: Power BI, Tableau, Plotly, Looker Studio, Matplotlib, Seaborn
  • Databases: Azure Data Lake, MySQL, PostgreSQL, MongoDB

Pinned Loading

  1. trustworthy-anomaly-detection- trustworthy-anomaly-detection- Public

    Anomaly detection using LSTM based autoencoder with prototypes

    Python 1

  2. ETL-pipeline ETL-pipeline Public

    Python

  3. interpretable-anomaly-detection-via-gurobi interpretable-anomaly-detection-via-gurobi Public

    Anomaly detection using gurobi

    Linear Programming

  4. capstone-ai-stock-market capstone-ai-stock-market Public

    Users track a personal watchlist of tickers, describe an investing thesis or question, and ask an agent to pull real market data, summarize company fundamentals and news, and log the analysis.

    Python