Bachelor and Master Degree Candidate at Universidade de São Paulo (USP), I have 6 years of experience in technology careers and 3+ years of experience as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects. Main topics over my work experience are:
- Technical Skills: SQL (SQL Server, Postgres, MySQL, Presto) , Deep Learning, LLM, Python (mainly Matplotlib, Numpy, Pandas, Polars, Seaborn and Sklearn), R, Spark, MongoDB, ElasticSearch
- Cloud Computing Skills: AWS services (Glue, Sagemaker, Athena, EC2 and S3), Databricks, Dataiku
- Data Warehouse Skills: Snowflake
- Visualization Skills: Tableau, Power BI, Meatabase
- Machine Learning Skills: Classification, Regression, Clustering, Time Series.
- Application Lifetime Skills: Openshift, Jenkins, Zabbix, Grafana.
- General Skills: Git, Scrum, Linux, Green Belt Certification.
- Collaboration in the structuring of a Data and Analytics sector;
- Extraction, ingestion and definition of master data and business indicators;
- Tech lead experience in data engineering, business intelligence and Analytics teams;
- Processes automations, leading to working hours optimization;
- Organization of recurrent reports, turning them more concise;
- Creation of deeper analysis projects over an Analytics and Machine Learning perspective.
My way of working consists in adpatation to the culture and environment of the company, embodying the growth mindset and always looking to contribute in possible enhancements in the current state of technical aspects. I consider myself ready for different business scenarios, due to my problem solving skills, I am also capable of creating solutions, with or without a team, whose goal is to reach indicators and answers to business daily or chronical problems.