I'm a passionate Data Scientist and Data Engineer with a strong foundation in software development. I enjoy solving complex data problems, building data pipelines, and leveraging machine learning techniques to extract meaningful insights. I am committed to continuously improving my skills and exploring new technologies in the world of data.
- Languages: Python, Java, SQL, JavaScript, TypeScript, C#
- Data Engineering: Apache Spark, Apache Kafka, Airflow, ETL Pipelines, Hadoop
- Data Science & Machine Learning: Pandas, NumPy, Scikit-Learn, TensorFlow, Keras, PyTorch
- Data Visualization: Matplotlib, Seaborn, Plotly, Power BI, Tableau
- Databases: MySQL, PostgreSQL, MongoDB, AWS Redshift
- Cloud Providers: AWS, Azure, Google Cloud
- DevOps: Docker, Kubernetes, Jenkins
- Version Control: Git, GitHub, GitLab
- Advanced Data Engineering concepts
- Deep Learning and AI
- Real-Time Data Streaming and Processing
- Big Data Technologies (Hadoop, Spark)
- Email: lucasreis.dnz@gmail.com
- Twitter: Lucas Reis Diniz
- I'm passionate about solving real-world problems using data.
- I enjoy reading about the latest advancements in AI, machine learning, and data engineering.
- I love exploring new data science challenges and experimenting with new algorithms and techniques.
Feel free to reach out for collaboration or just to talk about the latest trends in data! 😊