I am passionate about discovering insights from data and using them to solve real-world problems,
constantly curious, eager to learn new techniques and technologies, and driven to find innovative solutions.

Software Engineering: C / Bash / Ubuntu-User / Git / Regex / Python.
Data Science: Data Analysis / Plotly / Pandas / Matplotlib / Pyspark.
Workflow: YAML / Airflow / Docker / Github Actions.
Cloud:

• (AWS): RDS, EC2, S3, ElastiCache, Gateway Load Balancer (GWLB), CI/CD, DynamoDB.
• (Azure): CLI, VM, Files, Container Apps, Functions, ML Studio.

1. Data Science.
2. Machine Learning (ML)
3. MLOps (Pipelines, Monitoring, and automation)
4. Github Actions
5. MLFlow
6. Microsoft Azure
7. Airflow

• 🔭 I am currently working as a Data science consultant, I drive as much value as possible from your data.
• 🌱 I am learning how to orchestrate an ML workflow using Github Actions and Airflow.
• 👯 I’m looking to collaborate on MLOps projects if you are interested!
• 💬 ask me about, regression, classification, ML pipelines, ML in production, and workflow orchestration.

I am a great cook, like to test a few dishes every month from different cultures
I am a psychology and cultural differences enthusiast!
One last one, I am a former chess champion ♞ ♖