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NadiaRozman/README.md

Hi, I’m Nadia! ☺️

I’m a data enthusiast with hands-on experience in Machine Learning, Deep Learning, Natural Language Procesing (NLP), Data Analysis, and Data Visualization.

My projects focus on applying data-driven methods to real-world problems using Python, SQL, TensorFlow/Keras, NLP libraries and Tableau.

🔹 Featured Projects

ML Projects

  • Cat vs Dog CNN Image Classifier – Built an end-to-end Convolutional Neural Network (CNN) with TensorFlow/Keras for binary image classification, including data preprocessing, augmentation, training, evaluation, and single-image prediction.
  • Bank Customer Churn Prediction (ANN) – Developed an Artificial Neural Network to predict customer churn, improving retention strategy insights.
  • Vehicle Market Segmentation – Applied K-Means & Hierarchical Clustering to segment vehicles based on specifications.
  • Startup Profit Prediction – Compared multiple regression models to predict startup profitability and extract actionable insights.
  • Drug Classification – Built and evaluated classification models for predicting drug effectiveness.

Data Analysis & Visualization

Analytics Portfolio - Dual Projects

  • Employee Attrition & Retention Analysis – End-to-end HR analytics project identifying workforce attrition drivers with EDA, statistical analysis, Tableau dashboards, and predictive insights.
  • Customer Sentiment Analysis – NLP & Machine Learning project analyzing hotel reviews using VADER, TF-IDF, and neural networks, with actionable business recommendations and word cloud visualizations.

🔹 Skills

  • Languages & Tools: Python, TensorFlow, Keras, SQL, Tableau, NLTK, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, WordCloud
  • Techniques: Regression, Classification, Clustering, Artificial Neural Networks, Convolutional Neural Networks, Natural Language Processing, Sentiment Analysis, Data Cleaning, Data Visualization

📌 Projects are fully reproducible with notebooks and environment files included. Explore my repositories to see the full workflow.

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  1. Analytics_Portfolio_Dual_Projects Analytics_Portfolio_Dual_Projects Public

    Analytics Portfolio showcasing two end-to-end data science projects: Employee Attrition Analysis and Customer Sentiment Analysis, including EDA, NLP, ML, and Tableau dashboards.

    Jupyter Notebook 1

  2. Cat-vs-Dog-CNN-Image-Classifier Cat-vs-Dog-CNN-Image-Classifier Public

    Binary image classification of cats vs dogs using CNNs built with Keras/TensorFlow, including training visualization.

    Jupyter Notebook 1

  3. ANN_Bank_Customer_Churn_Prediction ANN_Bank_Customer_Churn_Prediction Public

    Predicting bank customer churn using Artificial Neural Networks (ANN) with scikit-learn.

    Jupyter Notebook 1

  4. ML_Clustering_Vehicle_Market_Segmentation ML_Clustering_Vehicle_Market_Segmentation Public

    Unsupervised clustering analysis of vehicle specifications using Hierarchical and K-Means methods (educational dataset).

    Jupyter Notebook 1

  5. Python_Data_Analysis_Project Python_Data_Analysis_Project Public

    Comprehensive Python analysis of job market trends, in‑demand skills, and pay for data analysts.

    Jupyter Notebook 1

  6. SQL_Data_Analysis_Project SQL_Data_Analysis_Project Public

    SQL analysis project exploring job market trends for data analysts: salaries, in‑demand skills and career insights.

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