Hello, I am

Nicholas Comuni

Data Science, Data Engineering, Machine Learning Engineering

Nicholas Comuni dos Reis

28 years old, Data Scientist from Brazil



In January of 2018, I started learning Python, and since then, my perspective on problem-solving has changed dramatically. I began studying statistics, machine learning, web development, and various related topics. Whenever an opportunity arose, I applied these skills to solve real problems in the agricultural industry, leveraging my background in agronomical engineering.


Over time, as I gained more experience in programming, data science, and data engineering, I made a definitive career shift, working as a full-time data engineer and data scientist ever since.


Currently, my work revolves around recommender models, and I'm particularly passionate about MLOps and coding best practices. My goal is not only to develop the most accurate ML model but also to design it as a comprehensive system, ensuring scalability, structure, readability, comprehensibility, testability, and monitorability.


Outside of work, I enjoy studying philosophy, esoterism, natural science, history, and related subjects. Lately, I've been delving deeper into topics such as the societal impact of AI, ethical implications of AI, philosophy of science, and spirituality.

Areas of Interest

Machine Learning & Deep Learning

I have been very enthusiastic and passionate about AI since 2018. I have studied everything from simple models to more complex Deep Learning models. Currently, I am working with Recommenders

MLOps

While working with more complex models and larger teams, I have come to realize the importance of adhering to MLOps best practices. This has sparked a keen interest in the principles of MLOps, including pipeline automation, modularization, monitoring, testing, and more

Coding

In the realm of coding, I hold a strong belief in the power of crafting exceptional code. Writing clean and efficient code, following best design principles, writing good quality documentation brings every project to a higher quality level

Data Engineering

Designing and developing pipelines, orchestrating and storing data in an efficient manner following the best principles, and integrating tools using widely-known frameworks such as Spark, Databricks, Airflow, and so on

Web Development

Developing Full-stack applications using HTML, CSS, Javascript, React, Django and Flask. This page was entirely developed by me

Data Viz

Explaining data, pipelines, and concepts through plots and images, I not only rely on Matplotlib, Seaborn, and Plotly but also utilize other tools like Canva, Cacoo, and Lucid Chart to simplify complex ideas

Systems Architecture & Design

Designing entire systems using architectural patterns, I always keep in mind the importance of understanding the big picture and ensuring that every piece of code fits together seamlessly, making the project a cohesive whole

Phylosophy

I have always been interested in philosophy, esoterism, mythology, history, economics, and related topics. Nowadays, I am particularly intrigued by the philosophy of science and the profound impact of AI on society, including its ethical, economic, and spiritual aspects

Timeline

Skills

Programming Languages

Main

Python

SQL

Side

HTML

CSS

Javascript

Arduino

Operational Systems

Windows

Linux

Python Libraries

PySpark

Pandas

Numpy

Tensorflow

SkLearn

Matplotlib

Seaborn

Flask

Django

Selenium

Cloud Providers

Databricks

Google Cloud

AWS

Azure

Databases

SQL Server

MySQL

PostgreSQL

Hive

Other Technologies

Docker

Hadoop

Git

Excel

Editors and Project Management

Jupyter

Jira

Confluence

notion

Notion

VSCode

Google Colab

Certifications

Google Cloud Professional Data Engineer

Google Cloud Professional Machine Learning Engineer

Contact

Feel free to contact me for any question. If you want to follow my work, reach me on Linkedin. Otherwise, send me an email at nicholas@nicholascomuni.com .

Copied!