- 🔭 I’m currently working on personal projects related to Automation and MLOps.
- 🌱 I’m currently expanding my skills in Data Science and Large Language Models (LLMs).
- 🤝 Looking for internship/junior developer opportunities and collaborate on open-source projects
- 💬 Ask me about Python, Data Science, general coding processes & APIs
- 📫 Reach me at: jeffersonfir@gmail.com
- 🧠 I believe in learning by building
| Project | Description | Tech Stack |
|---|---|---|
| Applied Data Science Capstone | Wrangling, EDA, Analysis | Python, SQL |
| Final Assignment (IBM) | Final project from IBM Data Science course | Python, Pandas |
| Python Weekend Projects | Mini-projects for fast learning | Pandas, Seaborn, FastAPI, TensorFlow |
(A collection of smaller projects focused on quick learning and skill-building.)
-
COVID-19 Data Analysis
- Objective: Explored global COVID-19 pandemic trends and visualized data.
- Technologies: Pandas, Matplotlib, Seaborn.
-
Tweet Emotion Recognition with TensorFlow
- Objective: Developed a model for sentiment analysis of Twitter data using NLP.
- Technologies: TensorFlow, NLP, Pandas.
-
ETL Pipelines with Python (Spotify)
- Objective: Built ETL pipelines to interact with the Spotify Developer API.
- Technologies: Python, Docker, Apache Airflow.
-
Basic Python REST API
- Objective: A lightweight REST API implementation for data handling.
- Technologies: FastAPI, Uvicorn, Pydantic.
-
Big Data Processing - Best Practices
- Objective: Modern data processing techniques using Databricks and Spark.
- Technologies: PySpark, Databricks, SparkSQL.
Languages: Python, Java, JavaScript, SQL, HTML, CSS
AI & ML: PyTorch, TensorFlow, Transformers (GPT, Gemini, etc.)
Big Data: Hadoop, Spark, MongoDB, NoSQL
Web Development: React.js, Node.js, Flask, Firebase
Tools: Git, GitHub, Docker, Airflow, VSCode, Power BI
My journey in technology began with foundational courses in Web Design (2011) and Computer Maintenance & Support (2012–2014) at SENAI, which sparked my passion for the field. I built on this by starting a degree in Computer Science (2015–2016) at a public university, where I developed strong logical and analytical thinking. At the same time, I pursued a broader business perspective through studies in Accounting and Finance (2017–2019) at Universidade Estadual da Paraíba and a degree in Financial Management. After passing a municipal civil service exam, I migrated to distance learning (EAD) during the COVID-19 pandemic, expanding my academic path. Today, I’m strengthening this interdisciplinary foundation through advanced studies in Big Data (Postgraduate – ongoing) and a new Computer Science degree (ongoing), aiming to apply this diverse background to drive innovation in tech.
My academic path blends systems analysis and software engineering with ongoing studies in data science and computer science:
- 🧮 Computer Science – Faculdade Focus (Ongoing)
- 📊 Postgrad in Big Data – Univitória (Ongoing)
- 🧠 POSTGRAD IN SOFTWARE ENGINEERING – FACULDADE FOCUS (2023) – ✅ CONCLUDED
- 💻 TECHNOLOGIST IN SYSTEMS ANALYSIS – UNOPAR (2016–2022) – ✅ CONCLUDED
- 💰 TECHNOLOGIST IN FINANCIAL MANAGEMENT – UNOPAR (2017–2021) – ✅ CONCLUDED
Early studies include Web Design & IT Maintenance at SENAI (2011–2014) and an initial degree in Computer Science at a public university (2015–2016).
- ✅ Certifications: IBM Data Science Professional, IBM Linux & Shell
- 🌍 Languages: Portuguese (Native), English (Intermediate), Spanish (Basic)
- 📊 Most Used Languages and Tools in Data Science Projects (Custom Estimate)
- 🔧 Most Used Languages and Tools in Fullstack Projects (Custom Estimate)
"Persistence is the path to success." — Charles Chaplin
Last updated: August 05, 2025
