Skills
• Languages
Python (Pandas, Numpy, Matplotlib, Seaborn, Statsmodels, Prophet, Scikitplot, Scikit-Learn, TensorFlow, Keras, PyCaret) - Markdown (markup language) – SQL (MySQL, Snowflake, PostgreSQL, BigQuery, Dbeaver)
• Other tools:
Data transformation: dbt - Data visualization and dashboards: Looker (Google Data Studio), Power BI, and Tableau - Cloud computing: Google Cloud Platform (GCP) - Creation and editing of spreadsheets: Advanced Excel - Container management: Docker - Orchestration: Airflow - Data extraction: Stich - Versioning control: git, GitHub, and Bitbucket - Jupyter Notebook - Google Colab.
About
I am a communicative, proactive person with a thirst for innovation! I moved to the data area almost 2 years ago as I feel more challenged in unraveling data and transforming it into relevant information that facilitates decision-making. In my career, I worked in companies of different sectors and sizes due to my ease of adaptation. These experiences reflect my multidisciplinary and systemic vision that helps me find quicker and more creative solutions to complex problems. For this reason, I have worked in different roles and data specialties such as Data Analytics Manager, Data Scientist, and Analytics Engineer.
I am looking for opportunities to continue my development in a team where I can contribute in the data area and generate significant impacts in the company. I am available for relocation and in-person, hybrid, and remote positions.
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