I'm an astrophysicist with a passion for data engineering and data science. My academic background has equipped me with strong analytical and problem-solving skills, which I now aim to apply in the tech industry to derive meaningful insights and drive data-driven decision-making. Below are some of the key skills and experiences I bring to the table:
Analytical and Problem-Solving Skills:
- Proficient in data analysis, capable of identifying patterns and extracting actionable insights.
- Experienced in hypothesis testing, crucial for A/B testing and data-driven experiments.
Technical and Computational Skills:
- Programming: Proficient in Python, essential for data analysis and model building.
- Statistical Methods: Expertise in statistical techniques, including regression analysis, clustering, and classification.
- Simulation and Modeling: Skilled in creating and running simulations, applicable to predictive modeling and machine learning.
Data Management Skills:
- Data Collection and Cleaning: Experienced in handling and cleaning large datasets, ensuring data quality.
- Database Management: Proficient in SQL for querying and managing databases.
Technical Tools and Software:
- Data Analysis Tools: Experienced with Pandas, NumPy, SciPy, and Jupyter Notebooks for data manipulation and analysis.
- Visualization Tools: Skilled in creating visualizations using Matplotlib, Seaborn, and other plotting libraries.
- Big Data Technologies: Familiar with handling large datasets using Spark.
Research and Communication Skills:
- Research Methodology: Strong background in designing and executing research methodologies.
- Technical Writing: Capable of documenting findings and methodologies clearly and concisely.
- Collaboration: Experience working in interdisciplinary teams and effectively communicating complex ideas to non-experts.
Domain Knowledge:
- Physics and Mathematics: Solid foundation in physics and mathematics, enhancing the understanding of data science algorithms and techniques.
- BRAZILIAN CAR DEALERSHIP (In progress): The project aims to implement a real-world project using common tools like AWS ECS, Airflow, DBT, Snowflake, and Postgres. The main task of this job was to provide reliable and consistent sales data to the sales manager in Brazil (Data Engineering Project).
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I'm excited to leverage my analytical mindset and technical skills in data engineering or data science roles to solve real-world problems and contribute to innovative projects. Feel free to explore my repositories and connect with me for collaboration!
- Introduction to Data Engineering: Certificate, Badge
- Python Project for Data Engineering: Certificate, Badge
- Python for Data Science, AI & Development: Certificate, Badge
- Databases and SQL for Data Science with Python: Certificate, Badge
- Hands-on Introduction to Linux Commands and Shell Scripting: Certificate
- Introduction to Relational Databases (RDBMS): Certificate, Badge
- The Complete SQL Bootcamp: Go from Zero to Hero: Certificate
