Personal details
Felippe M.
Technical skills
About
I'm an Engineer, with a background in Artificial Intelligence, and I've always sought to use technology to solve problems.
In my Master's, my study focused on Artificial Neural Networks, and I've published scientific articles and produced a dissertation on the subject. In the last four years, I've dedicated myself to studying Data Science (Python, ML, SQL, Spark).
I'm responsible and a team worker. During my career, I've taken on several managerial roles, having even led remote teams.
I know how to work with other people and try to treat everyone with respect and courtesy. I'm always open to hearing suggestions, criticisms, and other perspectives.
I have just finished the Data Science Bootcamp with the french school Le Wagon. It was an amazing experience and I was able to further consolidate my skills in Data Science: statistics and probability, SQL, Python (Pandas, Numpy, Sklearn, PyTorch, Tensorflow/Keras), NLP, MLOPs basics (Google Cloud).
I am searching for new challenges and experiences, and I believe I can make valuable contributions.
Work Experience
2013 - 2016: Head of the Division responsible for the development of the internal framework of the Receita Federal do Brasil's main Business Intelligence's software. The software was mentioned by OECD in the "2022 Comparative Information on OECD and Other Advanced and Emerging Economies" (https://www.oecd-ilibrary.org/taxation/tax-administration-2022_1e797131-en).
2016 - 2019: Head of regional Tax Inspection Division, having managed around 50 people (remote and local) in the period.
Currently, I've been working daily with data analysis, using especially Python and SQL to identify taxpayers with the highest probability of having committed tax fraud or tax evasion.
Although not directly related to technology, this experience allowed me to develop valuable skills: I was responsible for over US$10 million in annual sales. So, I know what it means to work for a large company and all the responsibilities involved. I also learned a lot about negotiation and customer relations.
At P&G, I stood out for constantly working with customer Data Analysis. I've learned about the company's Data Warehouse and started to develop reports and dashboards for my team.
This knowledge allowed me to better manage my customers' inventory and the possibility of building forecasts (using Excel spreadsheets, at the time) and more efficient sales strategies.