Blending over 10 years of experience in Data Science (Bioinformatics) and Analysis using advanced analytical techniques, ETL pipelines, Artificial Intelligence (ML and NLP), Statistical Analysis, Data Visualization and Data Storyteller. I transform big data and language into impactful solutions and experiences.

📍 Porto, Portugal | 🔗 LinkedIn | 👨‍💻 GitHub

Python: Jupyter, Numpy, Pandas, Matplotlib, Seaborn, Plotly, Tableau, Statsmodels and TensorFlow.

R: tidyr, tidyverse, ggplot2, knitr, KableExtra, readr, AER, oce, leaflet, sf, scales, stats and PlotSvalbard.

Freelance Data Analyst | Jan 2024 – Present

Biodiversity & Data Scientist Researcher | Univ. of Porto (CIIMAR/FCUP) | 2019 – 2023

Junior Data Scientist and Analyst | Evandro Chagas Institute | 2014 – 2016 (High-achieving Scholarships)

• R | Markdown: Decoding the Arctic: Understanding Environmental Change from the Ground Up (English)

  MSc project utilizing R and Markdown to analyze Arctic environmental data (microorganisms, physical, chemical, biological) to understand the impact of climate change.

• pgSQL | SQL: Analyzing Wildlife Patterns for Conservation Optimization (in portuguese)

  Project using PostgreSQL and SQL to analyze wildlife observation data, aiming to identify patterns for improved conservation strategies.

• Python | Jupyter: DeepSeek Stock Market Analysis: Uncovering the Impact of a New AI Model (English)

  Explored the impact of DeepSeek's launch on major tech stock prices using Python and Jupyter notebooks, identifying market reactions and potential trends.

• Python | Jupyter: Global Agricultural Trade Analysis: Identifying Lucrative Patterns and Trends (English)

  Analyzed global trade patterns for live animals and agricultural products using Python and Jupyter to identify key trends and potential opportunities.

• R | Markdown: Arctic Mapping with PlottSvalbard: Visualizing Environmental Data (English)

  Project using R and Markdown with the PlottSvalbard library to create maps visualizing various Arctic datasets.

• MSc in Biodiversity, Genetics and Evolution, University of Porto, Portugal
• BSc in Natural Sciences, Pará State University, Brazil

FreeCodeCamp:

• Machine Learning with Python (Expected: June 2025)
• Relational Database (Expected: May 2025) (Focuses on SQL)
• Data Analysis with Python (Completed: 2025) (Covers Pandas, Matplotlib, Seaborn)

National Laboratory for Scientific Computing (LNCC) | Brazilian Ministry of Science and Technology:

• Big Data (Completed: 2016)
• Data Analysis (Completed: 2016)
• Network Sciences (Completed: 2016)
• Big Data Management (Completed: 2016)

Evandro Chagas Institute | Technological Innovation Center (IEC | CIT):

• Introduction to Shell Scripting (Completed: 2015) (Bash)
• Introduction to Linux (Completed: 2015)
• Fundamentals of Phylogenetic Analyses and Phylogeography (Completed: 2015) (Bioinformatics)