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aanand-datascience/README.md

Aanand Kumar

Aspiring Data Scientist | Python | SQL | Machine Learning | Deep Learning

Turning data into insights and building practical, data-driven solutions.

LinkedIn • GitHub • Email

About Me

I'm an aspiring Data Scientist interested in data analysis, extracting meaningful insights, and developing predictive models to solve real-world problems.

  • Analyzing datasets using Python, SQL, and data analysis libraries
  • Exploring data through EDA and visualization
  • Practicing data preprocessing and feature engineering
  • Building and evaluating Machine Learning models
  • Currently learning Deep Learning and Neural Networks

Technical Skills

  • Programming: Python, SQL
  • Data Analysis: Pandas, NumPy, Exploratory Data Analysis (EDA)
  • Data Visualization: Matplotlib, Seaborn
  • Machine Learning: Scikit-learn, Feature Engineering, Model Evaluation
  • Deep Learning: Neural Networks — currently learning

Featured Projects

Current Focus

Strengthening Python and SQL, building practical Data Science projects, and improving Machine Learning and Deep Learning skills.

Let's Connect

Learn continuously. Build practically. Improve consistently.

Pinned Loading

  1. netflix-data-analysis netflix-data-analysis Public

    Netflix Data Analysis project explores trends in movies and TV shows using Python, Pandas, and Matplotlib. It cleans and visualizes the Netflix dataset to show insights on content duration, release…

    Jupyter Notebook 4

  2. house-price-analysis house-price-analysis Public

    Complete Exploratory Data Analysis (EDA) and Feature Engineering on the House Price train dataset using Python.

    Jupyter Notebook 4

  3. salary-prediction-ml salary-prediction-ml Public

    This project predicts employee salaries based on features like experience, education, and job role. Using ensemble learning with a Random Forest Regressor, the model was trained, tested, and evalua…

    Jupyter Notebook 4

  4. machine-learning-playbook machine-learning-playbook Public

    A comprehensive Machine Learning playbook featuring algorithms, data preprocessing, feature engineering, model evaluation, hyperparameter tuning, and hands-on implementations using Python and Sciki…

    Jupyter Notebook 1

  5. exploratory-data-analysis-playbook exploratory-data-analysis-playbook Public

    A practical EDA playbook covering data analysis, visualization, automated EDA tools, real-world datasets, and interview preparation using Python.

    Jupyter Notebook 3

  6. feature-engineering-playbook feature-engineering-playbook Public

    A complete end-to-end feature engineering guide covering missing values, encoding, scaling, outliers, transformations, and feature selection with real-world datasets and model impact analysis.

    Jupyter Notebook 3