Vinicius Bastos Gomes
Angestellt, Data Scientist | Machine Learning Engineer | Data Engineer, Charm.io
Budapest, Ungarn
Über mich
Data Scientist whose experience goes from automating ETL pipelines to deploying machine learning on cloud services, such as AWS and CGP. Generalist problem-solver fascinated by every data science step, from understanding business problem to deploying API's or pipelines, specially creating solutions that are valuable and comprehensible to the business. I have a special taste for deploying machine learning. So, docker, clean code, CI/CD, writing reproducible pipelines and understanding cloud services are a passion for me. My main experiences are related to applying data science techniques to the sales field, such as predicting the number of sales, purchase probability and also applying machine learning for trading, which is the current project I'm working on. Tools: Python, SQL, Airflow, Kedro, MLFlow, Docker, Elastic Search / Open Search, Unix - Bashing, Metabase, Google Data Studio, Power BI, Git, Github, Github Actions, CircleCI, PySpark, AWS, GCP, Terraform
Werdegang
Berufserfahrung von Vinicius Bastos Gomes
Bis heute 2 Jahre und 2 Monate, seit Apr. 2022
Data Scientist | Machine Learning Engineer | Data Engineer
Charm.io
Created image-based similarity models for approximately 20 million products - Developed text-based similarity models for around 4 million brands - Improved/created brand feature scores using techniques such as custom calculations and distributed machine learning models - Implemented tooling for reliability of machine learning models' lifecycle, including model versioning and experiment tracking Tools: Python, PySpark, EMR, Docker, Databricks, Elasticsearch/Open Search, Airflow, Faiss, MLFlow, Postgres
10 Monate, Juli 2021 - Apr. 2022
Data Scientist | Machine Learning Engineer
Ambev
- Developed a Machine Learning algorithm for predicting barley fields with high probability of exceeding the permitted concentration of Deoxynivalenol. - Modelled and deployed a fully automated multi algorithmic (Machine Learning) commodities trading system. - Created several spark ETL pipelines. Main tools: Python, Spark, Kedro, Docker, Databricks, MLFLow (MLProject).
1 Jahr und 2 Monate, Juni 2020 - Juli 2021
Data Scientist
Awari
Sprachen
Portugiesisch
Muttersprache
Englisch
Fließend
Deutsch
Grundlagen
Italienisch
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