🔎 Get to know my personal website: www.nicholascomuni.com
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.
- Google Cloud Professional Data Engineer
- Google Cloud Professional Machine Learning Engineer
- Python
- SQL
- HTML
- Arduino and C
- Linux (Ubuntu, Debian among others)
- Windows
- PySpark
- Pandas
- Numpy
- TensorFlow - Keras
- SkLearn
- Matplotlib
- Seaborn
- Flask
- Django
- Selenium
- Requests
- Google Cloud Platform (Certified)
- Azure
- Heroku
- SQL Server
- MySQL
- Postgres
- Hive
- Power BI
- Databricks
- Hadoop
- Apache Spark
- Docker
- Git
- Microsoft Excel
- Rest API
- ChatGPT
- Finance
- Agronomy
- Presentations
- Jupyter Notebook/Lab
- Google Colab
- VS Code
- Atom
- Notion
Sorghum - 100 Cultivar Identification - FGVC 9
H&M Personalized Fashion Recommendations
Spam Classifier with Naive Bayes
Crypto Trading Bot Using Binance APIs
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent