Gustavo Nassau

Develops and maintains corporate Power BI reports and dashboards, ensuring data availability, performance, and quality. Works across the data lifecycle using Databricks for data modeling/transformation, SQL for optimized queries, and Python to automate tasks and support advanced analytics.

Leads a data team through people management and technical mentorship. Acts as a technical reference for Power BI, SQL, Python, PySpark, Databricks, Azure, data pipelines, and Git version control, bridging operations execution and company strategy.

Analyzes large, complex datasets to build structured models and produce actionable insights. Uses Power BI, SQL, Databricks, and Python/PySpark to support decision-making, ensure data quality, and deliver reliable reporting on a weekly, monthly, and quarterly basis.

Supports Sales Ops for the commercial team by managing CRM processes in HubSpot and overseeing lead cadence. Analyzes performance metrics by consuming APIs with Python and building dashboards in Power BI.

Supports Sales Ops by managing CRM processes in HubSpot and generating/managing lead cadence. Develops and analyzes team performance metrics using Python to consume APIs and create dashboards in Power BI, including automating lead crawling on LinkedIn to reduce time from 30 days to 6.

Activities and societies: Coursework included Data Discovery and Analytics, Massive and Distributed Data Storage and Processing, Machine Learning, Neural Networks, NLP, and Data Modeling/Preparation for Machine Learning. Capstone: predicting ICU admission needs for COVID-19 patients.

Completed a Postgraduate Certificate in Big Data & Data Science at PUC Minas (2020–2022). Coursework covered data discovery/analytics, distributed storage and processing, machine learning, neural networks, NLP, and data modeling, with a capstone predicting ICU admission needs for COVID-19 patients.

Earned a Bachelor’s degree in Industrial Engineering at PUC Minas from 2014 to 2019.