Data Scientist | BI Engineer | Analytics Engineer | Machine Learning Engineer | Data Engineer | Database Analyst | Python | R | PostgreSQL | Oracle | DAX | M | Excel | Azure | Fabric | MLops | Dataops

Currently working in the Market Intelligence sector at Ardex Ceramfix, I am passionate about transforming data into strategic insights that drive business growth. With over 10 years of experience in diverse businesses, always working with Information and Communication Technology, from the Banking sector to Civil Construction, and 3 years of experience in Business Intelligence and Analytics, I have developed strong skills in data analysis, predictive modeling, and artificial intelligence engineering.

CÓD. SISTEC: 98927/118997830CM - 27/05/2024

University Anhanguera Uniderp of Campo Grande - 29/10/2024

University Center Unique of Ipatinga - 15/05/2025

University Center Anhanguera of Niterói - 1S2026

Data Science & Data Analytics: I developed predictive models and data analyses to drive business growth, using programming languages such as C, R, and Python.

Data Engineering & Data Warehouse Architecture: I developed and implemented data storage and ETL solutions to improve the efficiency and scalability of information systems, using environments such as GCP, Azure, Fabric, Databricks, and PostgreSQL.

Business Intelligence & Market Intelligence: I transformed raw data into actionable insights for strategic decision-making, using tools such as SQL, Power BI, Looker, and Excel.

Programming Languages & Analysis Tools: C, R, Python, PL-SQL, VBA.

Data Science Tools: SparkML, TensorFlow, Scikit-Learn, Selenium, PyAutoGUI, Numpy, Matplotlib, Pandas, NLTK, Bert, Orange Data Mining, Hughing Face.

Databases: Oracle, MySQL, SQLite, No-SQL, MongoDB, PostgreSQL, Maria DB, Cassandra, Hana, Totvs, Delta Parquet.

Big Data & Cloud Computing: Azure Data Factory, Google Big Query, Databricks Delta Lake, Onelake, Azure Synapse, Talend Data Integration, Hadoop, Hyve, Polars, DuckDB, PySpark.

Data Analysis and Visualization: DAX, M, SQL, Power BI, Streamlit, Looker, Excel.

MLops: Git, VMware, Docker, Airflow, Linux, and Fabric Ecosystem.

Critical Analysis: Ability to identify complex trends and patterns.

Communication: Fluent Spanish and Advanced English, facilitating collaboration in multicultural environments.

Problem-Solving: Analytical approach to solving challenges and optimizing processes.

Negotiation: Ability and experience in extracting crucial information and requirements for modeling problems.

Hyper focus: Ability to work for hours on end on the same task. Emotional Intelligence: Control and focus on stressful situations and tight deadlines.

Mail Contact:

Summary and Certifications:

Reach me at Telegram:

I have lived in Blumenau-SC since 2021, where I continue to explore the dynamic field of Data Science, always looking for opportunities to make an impact through data analysis.

Languages:

Python3	C	R	DAX/M	PL/SQL

Best frameworks and main libraries for Python3:

Pytorch	Selenium	Numpy	Pandas	Sklearn	Matplotlib	OpenCV	Poetry	Seaborn	Plotly	TensorFlow	Streamlit

My tools for Data Manipulation:

Conda	Jupyter	Spark	MySQL	Oracle	SQLite	GCP BQ	Fabric	Talend

Environments, Testing, Other:

Pycharm	Git	Docker	Pytest	Azure Databricks	Postman	Virtual Box	Power Platform

OS:

Linux	Android	Windows