Snooker


Data scientist and Prompt Engineer with experience in Python, SQL, cloud computing, data engineering, machine learning, data visualization, deep learning, database management, version control, agile/scrum methodologies, prompt engineering, and business intelligence. Proven ability to collect, clean, analyze, and visualize data to solve complex problems and generate insights. Expertise in developing and deploying machine learning models and prompt engineering for large language models.
• Development and implementation of an art recognition system based on a Deep Learning Framework
Programming Languages: Python, SQL and Cloud Computing
Data Engineering Tools: Apache Spark, Apache Airflow, Hadoop
Machine learning: Experience with a variety of machine learning algorithms, including supervised learning, unsupervised learning, and reinforcement learning
Data visualization: Expertise in using data visualization tools to communicate findings to stakeholders
Deep Learning Frameworks
Database Management: MySQL, PostgreSQL
Version Control: Git
Agile/Scrum Methodologies
Prompt Engineering
Business Intelligence (BI): Tableau, Power BI
Manage your project with a Scrum team
Snooker
AI
Use ChatGPT to enhance your productivity
Initiate Yourself to Machine Learning
Manage your project with a Scrum team
Manage code with Git and GitHub