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the-irritater/README.md

Hi, I'm Sanman Kadam

MSc Statistics Student Aspiring Data Analyst | Data Science

I am passionate about working with data to uncover insights and solve real-world problems. My focus is on building end-to-end data analytics projects involving data cleaning, SQL analysis and dashboard development.

Skills & Tools

  • Python (Pandas, NumPy, Matplotlib, Scikit-learn)
  • SQL (MySQL, SQL Server)
  • R Programming
  • Power BI
  • Machine Learning
  • Statistical Analysis
  • Data Visualization

GitHub Stats

Sanman's GitHub stats

Top Languages

GitHub Streak

What I'm Currently Working On

  • Building end-to-end data analytics projects using Python, SQL and Power BI
  • Strengthening SQL querying and performance optimization
  • Exploring machine learning and applied statistical modeling

Featured Projects

  • Retail Sales Analytics Dashboard (Python, SQL, Power BI)
  • SQL Sales Analysis Project
  • Sentiment Analysis using NLP
  • Machine Learning Classification Models
  • Statistical Research on Human Behavior

Connect With Me

Always learning, continuously improving and focused on building impactful data driven solutions.

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  1. retail-sales-analytics-dashboard retail-sales-analytics-dashboard Public

    End-to-end retail sales analysis project using Python, SQL, and Power BI

    Python 1

  2. SMS_Spam_Classification_ML_DL SMS_Spam_Classification_ML_DL Public

    SMS Spam Detection using Machine Learning models and Bidirectional LSTM achieving 98.16% accuracy with strong generalization.

    Python 1

  3. Neural-Network-Regularization-Study Neural-Network-Regularization-Study Public

    Comparative study of neural network regularization techniques (L1, L2, Dropout, BatchNorm) applied to regression with outliers and TF-IDF based spam classification.

    Jupyter Notebook

  4. regularized-regression-mtcars regularized-regression-mtcars Public

    Comparative analysis of OLS, Ridge, and Lasso regression on the Auto MPG dataset with cross-validation, regularization tuning, and feature selection.

    Jupyter Notebook 1

  5. Coffee_Sales_Analysis Coffee_Sales_Analysis Public

    Power BI dashboard analyzing coffee shop sales data to identify revenue trends, peak sales hours, and product demand insights.

  6. SQL_Sales_Project SQL_Sales_Project Public

    Sales data analysis using SQL with business KPI insights

    TSQL