VINICIUS GOES
Data Engineer/Scientist
Currently specializing in ETL/SQL, DataViz, ML
Past: Business Intelligence, Data Analyst, Product Engineering
ABOUT
My journey in technology started early. At 14, I was customizing game servers and modifying databases so that my friends and I could play. This is how I began playing with MySQL, altering data tables. At 16, I took on some bounties in Cybersecurity to pay for my pre-college course. In the first year of Engineering college, I landed my first internship, performing maintenance on manufacturing and IT systems, as well as extracting and analyzing data using Tableau and Power BI, making it available to the teams.With a foot in the data field door, I moved to another company to work in Data Science, on a quality engineering team, starting with data fundamentals, statistics, ML models, Python/R, and diving deep into data analysis. After building this solid data foundation, I improved my expertise in ETL, creating pipelines and using SQL, Python, and AWS stacks daily.Right now I'm currently seeking a new challenge as a Data Professional, while also enhancing my knowledge in Machine Learning, writing articles, and conducting research on new data trends :)
PROJECTS
This portfolio showcases a selection of my publicly available projects. Please note that some of my work, due to confidentiality agreements or sensitive content, cannot be shared here. I'm happy to discuss these experiences further in a more private setting.
This project extract data from a PDF file containing car data, transform save it as a CSV file, load to a AWS RDS (PostgreSQL) and create a DAX in Apache Airflow running in a AWS EC2 instance, to do monthly refresh. The data is processed using Python libraries. The main tasks performed include data extraction, transformation, cleaning, and visualization.
python pandas pypdf seaborn matplot jupyter scikit-learn ARIMA powerbi apache airflow AWS RDS AWS EC2 PostgreSQL
This project is a Telegram bot that downloads Instagram stories and stores them in a SQLite database. It allows users to download stories from Instagram profiles, view downloaded stories, and export the data as a CSV file.
Used for Paris 2024 Olympic Games to connect fans with athletes Instagram profiles and build a database of their memorable moments, this sample version of the project uses a smaller dataset to demonstrate key features with reduced complexity.
python telegram-bot instaloader SQLite3 pandas requests google-drive SQL
The WARP is a tool designed to automate the buying and selling of tokens on the Solana blockchain. The bot can monitor market conditions in real-time, such as pool burn, mint renounced and other factors, and it will execute trades when these conditions are fulfilled.
Main Contributions: Designed and Developed filters, testing and function to store all trades Data.
blockchain RPC solana raydium-sdk typescript javascript node.js SQLite3 software authentication
