Data scientist from the UK, specializing in machine learning, neural networks, and big data solutions.
- Exploring the theory and application of neural networks and deep learning models
- Actively studying transformer architectures and large language models (LLMs)
- Experimenting with training and fine-tuning models for various NLP tasks
- Developing deep learning models using Keras and TensorFlow
- Building and evaluating machine learning models with Scikit-learn
- Understanding of model deployment workflows and best practices
- Classical machine learning techniques and experiments.
- Proficient in Python for data science and automation
- Experienced with libraries like NumPy, Pandas, and Plotly for data manipulation and visualization
- Writing clean, efficient code for data preprocessing, feature engineering, and analysis
- Hands-on experience with Databricks, including Spark and Delta Lake
- Certified in Databricks data engineering tools and platforms
