Juliano Pierezan
Global Data Science Senior Manager
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolJuliano Pierezan is a Global Data Science Senior Manager based in São Paulo with nine years of experience leading multidisciplinary, multilingual teams and scaling data-driven solutions across sales and marketing. He blends deep academic roots (MSc and PhD in computational intelligence, h-index >10) with hands-on expertise in AIoT, NLP/LLMs, computer vision, time series and GenAI, plus production skills across Python, PySpark, Scala and cloud platforms (AWS, Azure, Databricks). Known for building bridges between commercial stakeholders and engineering squads, he drives strategy, talent development and end-to-end solution architecture for global initiatives. He also teaches GenAI and data analytics, mentoring the next generation of practitioners while shaping hiring and retention practices to improve team quality and scalability. An unusual combination of mechatronics R&D (humanoids award winner) and enterprise data leadership gives him a pragmatic edge in turning advanced research into business impact.
9 years of coding experience
Bosch Accelerator Program - Executive Education Business Modelling, Bosch Accelerator Program - Executive Education Business Modelling at University of California, Berkeley, Haas School of BusinessDoctor's Degree Electrical Engineering Electronic Systems, Doctor's Degree Electrical Engineering Electronic Systems at Universidade Federal do ParanáPontifical Catholic University of Paraná
English, Spanish, Portuguese
Github Skills (13)
heuristics10
optimization-methods9
multi-objective-optimization9
evolutionary-computation9
evolutionary-algorithms9
evolutionary9
constrained-optimization9
ieee9
differential-evolution9
simulated-annealing8
vehicle-routing-problem8
optimization8
computation8
Programming languages (1)
Github contributions (3)
jkpir/COA
Jan 2019 - Aug 2021
A new metaheuristic for global optimization problems proposed in the IEEE Congress on Evolutionary Computation (CEC), 2018
Contributions:51 commits, 1 PR, 33 pushes in 2 years 7 months
optimization-methodsheuristicsproblemssimulated-annealingcomputation
jkpir/ProjetoTeste
Jan 2017 - Jan 2017
Contributions:2 PRs, 3 pushes, 5 branches in 6 days
ferramentaprojetoexemplojavascriptaprender
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