Working in the tech industry since 2011, and since 2015 working with data, I am considered what they call "full-stack data scientist" (although I don't like this title), working throughout the whole data science and machine learning project life cycle, from idea conception to deploy and monitoring.

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Using machine learning, I've solved problems in fields such as NLP, Time Series Forecasting, Clustering, Anomaly detections, and classification models. I've been helping companies creating data science teams by designing and implementing processes, tools, job definitions, and managing hiring processes. Also, I've been part of projects related to data democratization, business insights (storytelling, descriptive and predictive modeling), and statistical analysis (exploratory data analysis, hypothesis testing, and so on).