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SuditiSharma/README.md

Hi, I'm Suditi Sharma 👋

Data Science Graduate | Python • SQL • Machine Learning

I'm a data science professional with an MSc in Computer Science with Data Science from the University of Strathclyde. Currently working at Aviva, I'm passionate about applying machine learning and predictive analytics to solve real-world business problems.

🔧 Technical Skills

  • Languages: Python, SQL, R
  • ML/AI: scikit-learn, TensorFlow, Deep Learning (CNN, LSTM), Ensemble Methods
  • Data Analysis: pandas, NumPy, Data Visualization (matplotlib, seaborn)
  • Tools: Jupyter, Power BI, Excel (Advanced), Git

🎯 Current Focus

Transitioning from operational analytics to data science, with particular interest in:

  • Predictive modeling and machine learning
  • Insurance analytics and pricing models
  • Feature engineering and model optimization

📊 Featured Projects

Check out my pinned repositories below to see my work in:

  • Multi-class classification with ensemble methods
  • Deep learning for NLP and text analysis
  • Database design and SQL optimization

📫 Connect With Me

💡 Open to data science opportunities and collaborations!

Pinned Loading

  1. Genre-Predictor-Spotify-Music-Classification Genre-Predictor-Spotify-Music-Classification Public

    This project leverages advanced machine learning techniques to predict musical genres based on various sonic signatures within tracks. By analyzing attributes such as tempo, speechiness, and acoust…

    Jupyter Notebook

  2. GoodReads-Book-Rating-Prediction GoodReads-Book-Rating-Prediction Public

    This project applies neural networks to GoodReads data, predicting user engagement from review texts and interactions. It explores a spectrum of models, from deep neural networks to hybrids like CN…

    Jupyter Notebook

  3. Multi-Paradigm-Data-Modeling-RDBMS-XML-and-OWL Multi-Paradigm-Data-Modeling-RDBMS-XML-and-OWL Public

    Forked from fenil12/Multi-Paradigm-Data-Modeling-RDBMS-XML-and-OWL

    This project is dedicated to make the process of creating efficient data models more accessible. It encompasses three distinct paradigms – RDBMS, XML, and OWL – to provide a holistic understanding …