Lucas Escobar
Data Analyst
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolLucas Escobar is a data analyst with nine years of professional experience and over four years focused on building interactive dashboards and data pipelines using Power BI, PostgreSQL, and Python. With a Computer Engineering degree from UFMS and research experience at the university's Artificial Intelligence Laboratory, he blends practical BI delivery with a solid foundation in machine learning, computer vision, and LLMs. At TecSinapse he has scaled data operations, helped grow the analytics team from 2 to 5, and supports data-driven decisions for 150+ clients through optimized SQL and automated Python routines. Skilled in SQL query optimization, Pandas-based ETL, and version-controlled workflows, he balances hands-on engineering with client-facing collaboration and mentoring. Based in São Paulo, he brings a track record of turning large, messy datasets into actionable insights while maintaining production-ready processes.
9 years of coding experience
3 years of employment as a software developer
Ensino Médio, Ensino Médio at Colégio Salesiano Dom BoscoBacharelado, Computer Engineering, Bacharelado, Computer Engineering at Universidade Federal de Mato Grosso do Sul
Github Skills (11)
rio2
data-manipulation1
computer-vision1
python1
machine-learning1
deep-learning1
science1
nvidia1
data-science1
pandas1
data-analysis1
Programming languages (3)
Github contributions (5)
lucasstna/HRNet-Facial-Landmark-Detection
Aug 2020 - Jul 2024
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
Contributions:18 pushes in 4 years
pytorchfacial-landmark-detectionrepresentationarxivabs
lucasstna/first-project
Apr 2017 - May 2020
Contributions:3 pushes, 1 branch in 3 years 1 month
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