Hi, I am Mario Filho.

What ChatGPT Thinks About Me
I fed my resume to ChatGPT and asked it to write a career summary. Here is what it came up with:
Mario Filho, a highly accomplished data scientist, Kaggle Grandmaster, and educator, has over nine years of experience in data science and machine learning.
As a consultant and freelancer, he has executed end-to-end machine learning strategies for an array of clients, including an artwork pricing model for an art analysis startup, a recommendation system for Tannico.it, and a sales forecasting system for a Fortune 500 packaged consumer goods company.
His expertise has earned him numerous accolades, such as placing 1st out of 1320 teams in the Machinery Tube Pricing Competition and securing 12th place among 180,000+ data scientists on Kaggle’s global ranking.
A passionate educator, Mario has taught over 900 students in his paid online course, completed 127 mentoring sessions on Codementor.io, and garnered over 23,000 subscribers on his YouTube channel.
As a Content Advisor at UC Berkeley, he contributed to the Applied Data Science with Venture Applications: Data-X course, refining lecture and assignment content.
Additionally, he authored a popular book on practical data science, which has been widely read and appreciated.
Mario’s extensive educational background comprises numerous prestigious courses from institutions like MIT, Stanford University, and Johns Hopkins University.
Among his accomplishments are completing the Deep Learning Specialization by DeepLearning.ai and the Practical Reinforcement Learning course from the Higher School of Economics in Moscow.
With a proven track record of success and a passion for sharing knowledge, Mario Filho continues to make a significant impact on the world of data science through his technical leadership, innovative solutions, and unwavering commitment to education.
TL;DR
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Kaggle Competitions Grandmaster with multiple 1st place finishes in global Kaggle competitions, and top global rank at 12th of 50,000+.
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Lead Data Scientist at Upwork Inc between 2018 and 2019. Worked on machine learning ranking models to match 8 million freelancers to jobs posted by 2.5 million companies every day on the platform.
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Content advisor to Applied Data Science with Venture Applications: Data-X (INDENG 135/235) at UC Berkeley.
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Freelancing through platforms and referrals since 2014.
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Have a Youtube channel (Brazilian Portuguese) with over 20,000 subscribers and 50,000+ hours watched.
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Author of “Manual Prático de Data Science” (Brazilian Portuguese) available at Amazon.
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Completed 127 1-on-1 mentoring sessions at Codementor, receiving 105 5-star reviews from learners.