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divyajagtap28/README.md

Hi there, I'm Divya Jagtap!

Third Year Computer Engineering Student Β· Data Science Enthusiast Β· ML Explorer


πŸ‘©β€πŸ’» About Me

I'm a Third-year Computer Engineering student passionate about turning raw data into meaningful insights. I enjoy building regression models, analyzing multicollinearity, reducing overfitting, and applying statistical techniques to real-world datasets.

  • πŸŽ“ B.E. Computer Engineering (3rd Year)
  • πŸ”­ Currently working on advanced regression & regularization techniques
  • 🌱 Learning ElasticNet, advanced regularization, and production-ready ML pipelines
  • πŸ’‘ Interested in regression modeling, model generalization, and applied ML
  • πŸ“« Reach me at divyajagtap28@gmail.com

πŸ› οΈ Tech Stack

Languages

Python SQL Java C C++

Data Science & ML

Pandas NumPy Scikit-Learn Matplotlib Statsmodels Machine Learning

Databases & Visualization

MongoDB Tableau

Deployment

Streamlit

Tools

Git GitHub Jupyter VS Code PyCharm


πŸš€ Featured Projects

Project Description Tech
πŸŽ“ Student Placement Salary Prediction Predicts placement salary using Linear/Ridge/Lasso Regression with GridSearchCV tuning, VIF multicollinearity diagnostics & Lasso feature selection β€” live demo Python, scikit-learn, Streamlit
πŸ’Ό Salary Prediction Predicts salary from years of experience using SLR β€” RΒ² of 0.90 Python, scikit-learn
πŸ“ˆ Profit Prediction Multiple linear regression with OLS & Backward Elimination Python, Statsmodels
πŸš— Car Weight Prediction Comparative study of OLS, Ridge & Lasso with bias–variance analysis Python, scikit-learn
πŸ“š Amazon Books Analysis Web scraping, data cleaning & visualization of Amazon Best Sellers Python, Pandas
πŸ€– Robo Speaker Windows-safe Python voice assistant with keyword-based responses Python, pyttsx3

πŸ“Š GitHub Stats


🎀 Leadership & Involvement

ACMXPCCOER Student Chapter β€” Association for Computing Machinery, PCCOER Student Chapter

  • Social Media Head (2025 – Present) β€” Leading social media strategy and content for the chapter
  • Social Media Member (2024 – 2025) β€” Contributed to content creation and community engagement

Currently Learning

  • Advanced regularization methods
  • Cleaner, production-ready ML pipelines
  • Deepening statistical foundations for machine learning

Profile views

"Turning data into decisions, one model at a time."

Top Languages

Pinned Loading

  1. profit-prediction-multiple-linear-regression profit-prediction-multiple-linear-regression Public

    Profit Prediction using Multiple Linear Regression with OLS & Backward Elimination

    Jupyter Notebook 1

  2. amazon-bestselling-books-analysis amazon-bestselling-books-analysis Public

    Web scraping & data analysis project: Amazon Best Sellers in Books, with data cleaning, visualization, and insights.

    Python 1

  3. Cars-Weight-Prediction-Regularization Cars-Weight-Prediction-Regularization Public

    Comparative study of OLS, Ridge, and Lasso regression for car weight prediction with bias–variance analysis.

    Jupyter Notebook 1

  4. student-placement-salary-prediction student-placement-salary-prediction Public

    Predicts student placement salary using Linear, Ridge & Lasso Regression with hyperparameter tuning, VIF diagnostics, and a deployed Streamlit app.

    Jupyter Notebook 1

  5. Women-in-STEM-Tableau-Dashboard Women-in-STEM-Tableau-Dashboard Public

    Interactive Tableau Dashboard analyzing women's participation in STEM education, employment and earnings.

    1

  6. diabetes-prediction-svm diabetes-prediction-svm Public

    Diabetes prediction using SVM (Support Vector Machine) on the PIMA Indians dataset β€” data preprocessing, model training, and evaluation in Python.

    HTML 1