I am a Data Scientist with a strong foundation in Python, SQL, and machine learning, coupled with a passion for solving complex problems through data-driven insights. My experience spans across statistical analysis, data visualization, and building machine learning models using tools like Scikit-Learn, TensorFlow, Keras, and natural language processing libraries such as spaCy and NLTK.Throughout my career, I have successfully developed predictive models for customer churn and taxi demand forecasting, helping businesses optimize customer retention strategies and manage operational demands. These projects involved advanced techniques including hyperparameter tuning, cross-validation, and time series decomposition. I am also skilled in data manipulation, regularly utilizing Pandas and PySpark to process large datasets efficiently and effectively.In my previous roles, I’ve demonstrated my ability to extract actionable insights from data, improve customer experiences, and support strategic decision-making. I excel at communicating complex findings through data visualization tools like Matplotlib and Seaborn, enabling stakeholders to make informed, data-backed decisions.Driven by a passion for continuous learning, I always explore new ways to apply machine learning and analytics to create value. When I'm not working on data science projects, researching or studying new materials I enjoy diving into mathematical concepts, staying active in the gym 🏋️♂️, and engaging in debates. I’m also a cricket 🏏 fan and enjoy practicing chess ♟️ Feel free to connect with me here on LinkedIn or via email at tevinswright@gmail.com.