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tejasy4912/README.md

Hello, I'm Tejas Pawar

Data Scientist | Machine Learning Engineer | Data-Driven Problem Solver

👋 About Me

  • 🎓 I specialize in Data Science, Machine Learning, and Statistical Analysis using tools like Python, SQL & R.
  • 🏆 Projects & Experience:
    • Real-time Communication Analysis: Built and deployed NLP-driven ML models into production.
    • Daily Data Workflow Automation: Streamlined data and ML pipelines using Python, Spark, Jupyter, and dashboards with Power BI & Tableau.
  • ⚙️ Skilled at end-to-end ML workflows (research → development → deployment), leveraging Cloud Computing Platforms
  • 🧠 Known for critical thinking, complex problem-solving, and delivering robust, data-driven solutions.

🛠️ Tech & Tools

Python R SQL Jupyter Google Colab TensorFlow PyTorch Scikit-learn Keras Hugging Face SpaCy NumPy Pandas SciPy OpenCV Azure AWS Google Cloud Databricks MySQL PostgreSQL ETL FastAPI Power BI Tableau Plotly Matplotlib Git GitHub Docker CI/CD Apache Spark Airflow MLflow Kubeflow

🚀 What I Do

  • NLP & Real-Time Analytics: Transform communications data into actionable insights.
  • ML Model Deployment: End-to-end machine learning solutions on-prem & cloud.
  • Data Visualization: Storytelling with data using dashboards (Power BI, Tableau).
  • Workflow Automation: Using Python, Spark, and SQL to streamline processes.
  • MLOps: Scalable model lifecycle management with tools like MLflow, Databricks, and FastAPI.

💬 Let's Connect

  • Email: [email protected]
  • Phone: +1 (617) 659-4081
  • Fun Fact: I chose Data Science by accident in college—and it turned out to be the best mistake ever!

Open to Collaborations & Opportunities.
Let's turn data into impactful insights together!

Pinned Loading

  1. Customer-Segmentation-Analysis-using-PySpark Customer-Segmentation-Analysis-using-PySpark Public

    Implementing Customer Segmentation using K-Means clustering with PySpark

    Jupyter Notebook

  2. Diabetic-Retinopathy-Prediction Diabetic-Retinopathy-Prediction Public

    Jupyter Notebook

  3. Sentiment-Analysis-End-to-End-Project Sentiment-Analysis-End-to-End-Project Public

    Jupyter Notebook

  4. Supervised-Machine-Learning-Algorithms Supervised-Machine-Learning-Algorithms Public

    Jupyter Notebook

  5. Data-Mining-with-R-Identification-of-Bullying-Victims-Using-Data-Mining-Techniques Data-Mining-with-R-Identification-of-Bullying-Victims-Using-Data-Mining-Techniques Public

  6. Unsupervised-Topic-Modelling-on-the-20-Newsgroups-Dataset Unsupervised-Topic-Modelling-on-the-20-Newsgroups-Dataset Public

    Jupyter Notebook