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Work Background
JungleMachine Learning Engineer
Jul. 2021 - Apr. 2024Lisboa, Portugal · RemoteAs a key player in a dynamic ML engineering team, I specialized in developing and maintaining web applications, ML pipelines, and MLOps, using tools like Django, Streamlit, Docker, and Kubernetes. My focus on feature engineering significantly improved our machine learning workflows, enhancing efficiency and data processing capabilities. I co-developed an application that streamlined the customer onboarding process, reducing the timeframe from days to hours, thereby enhancing operational efficiency and customer satisfaction. My role sharpened my skills in deploying machine learning models and integrating various technologies into efficient workflows. I excelled in collaborative problem-solving and project management, contributing to our company's competitive edge and improved customer experience.
INEGI driving science & innovationData Scientist
Aug. 2019 - Nov. 2020Porto, Portugal · HybridLed the design and deployment of Machine Learning models for predicting electricity generation in wind and solar farms, using ARIMA regression, h2o in R, TensorFlow, and Prophet. My role involved building and maintaining real-time prediction pipelines, significantly boosting the operational efficiency of renewable energy resources. My key focus was on data exploration and cleaning using Python and Spark, alongside feature engineering to enhance Machine Learning model performance. I also managed MySQL databases, ensuring robust data management. My contributions in the renewable energy sector included developing Machine Learning solutions to optimize energy outputs and improving data processing and model accuracy. I worked collaboratively with various engineering teams and business stakeholders to implement scalable solutions, playing a vital role in advancing predictive model capabilities and maintaining high data integrity standards.
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