Luca Peres Email & Phone Number

Federal District, Brazil

Distrito Federal, Brasil

Machine Learning Engineer | Data Scientist | Data EngineerMachine Learning Engineer | BBTS (Jan/2024 - Present)In 2024, I joined the Artificial Intelligence team at BBTS, taking on the role of Machine Learning Engineer. In this new position, I utilized tools such as MLflow, Python, Databricks Workflows, and environments like Azure and Databricks to develop and implement machine learning models. I had the pleasure of participating in the implementation of the company's first Large Language Models (LLM) project and significantly contributed to building the MLOps architecture, which improved the lifecycle of machine learning models from development to production.Data Engineer | BBTS (Jan/2023 - Dec/2023)In 2023, I joined Banco do Brasil Tecnologia e Serviço (BBTS) as a Data Engineer, where I worked with the Databricks and Azure platform using tools such as Azure Data Factory, Azure Data Lake, Metabase, PySpark, Databricks Workflows, SQL, and Power BI. During this period, I contributed to the construction and maintenance of efficient data pipelines and advanced analytical solutions.My work at BBTS has been marked by innovation and the application of cutting-edge technologies to solve complex challenges, contributing to the company's digital transformation and operational efficiency.

Gana

AI consultant

Marenge, Kigali City, Rwanda

In December 2023, I participated in UNLEASH Plus Rwanda, an Innovation Lab focused on the Sustainable Development Goals (SDGs), held in Kigali. This event brought together 1,000 young innovators from around the world to co-create solutions for urgent global challenges.During the event, I presented a water consumption forecasting project using machine learning. My team and I developed a predictive model that stood out among the participants, placing us among the top 10 finalists in the Dragons' Den event. The project involved the application of advanced machine learning algorithms to analyze climatic and temporal data, significantly contributing to sustainable development and the efficient management of water resources.Participating in this event not only expanded my global network but also equipped me with practical skills in innovation and problem-solving, contributing to the advancement of the SDGs.

Distrito Federal, Brasil

Data Scientist | CAESB PGOC (Nov/2021 - May/2022)Developed machine learning projects focusing on boosting algorithms for:Multi-label classification of motor operation arrangements.Forecasting water consumption based on climatic and temporal data using web scraping.Analyzing leaks in the supply network.Predicting turbidity to support operational decision-making in water treatment plants.Predicting reservoir levels for monitoring overflows.Data Scientist | CAESB PAN (May/2022 - Jan/2023)Developed real-time monitoring dashboards for water distribution areas using Dash, Docker, Python, and Microsoft Power BI, aimed at monitoring water losses, network repairs, and operations.Performed geoprocessing of spatial data using Python.

Df

Intern | CAESB PGOC (Oct/2019 - Oct/2021)Developed data extraction and processing routines from the industrial Proficy Historian database using Python, SQL, and PySpark.Analyzed data on water consumption, operations, resources, climate, and services provided.Utilized machine learning algorithms to predict water consumption.

Df

Pós-Graduação Lato Sensu - Mba, Computação Aplicada

Bacharelado, Computer Science