A Chemical Engineer turned passionate Data Engineer, I discovered my love for data and automation while working in the Oil & Gas industry as a Field Engineer. Realizing the potential to optimize tasks through computing, I embarked on a self-learning journey in data science. From mastering Python and pandas to exploring machine learning libraries and PowerBI, I immersed myself in the world of data.
As a part of an intensive acceleration program, I collaborated with developers in a Scrum Framework environment, enhancing my skills in teamwork and agile methodologies. Recently, I delved into the realms of Apache Kafka and PySpark, adding powerful tools to my arsenal.
- Chemical Engineer with hands-on experience in the Oil & Gas industry.
- Self-learned Python, pandas, machine learning, and PowerBI.
- Acceleration program participant, thriving in collaborative Scrum projects.
- Recent focus on mastering Apache Kafka and Apache PySpark.
- Dash Financial Dashboard utilizing Apache Spark, Kafka and Airflow: Kafka, PySpark, Airflow, Cassndra, Dash, Docker, Hugging Face.
- Use NLP to analyze job descriptions in LinkedIn and apply accordingly: Playwright, spaCy, PostgreSQL.
- ETL and Data Analysis of Swedish Restaurants that sell pizza: Scrapy, scrapy-playwright, Pandas, Seaborn, Plotly.
- ETL utilizing Airflow and Docker: Apache Airflow, Docker, AWS PostgreSQL, Pandas, AWS S3.
Feel free to explore my repositories and reach out for collaboration or discussion. Let's connect and innovate together!