Mario Filho

*** 100+ sessions COMPLETED with ONLY FIVE STARS ratings! ***

I help companies use data to predict important tasks using machine learning models. Answering questions like: Will a customer stop buying from us? How much of this product are we selling next month? What product this customer is likely to be interested in buying? And many more!

Former Lead Data Scientist for Machine Learning Systems at Upwork (2018-2019)

I am a Kaggle Competitions Grandmaster, and my highest rank is 12th of 46,000+ data scientists.

I currently work as a Content Consultant at Berkeley for the Applied Data Science with Venture Applications: Data-X (INDENG 135/235) helping to:

• Refine and improve lecture and assignment content to maximize learning retention
• Design interactive activities and games to engage students in learning outcomes
• Research third-party studying resources for students to dive deeper into the subjects

Machine Learning Competitions Highlights:

• 1st of 1323 at Caterpillar Tube Pricing
  Goal: model quoted prices for industrial tube assemblies that Caterpillar buys from multiple suppliers to help in the pricing of its final product

• 1st of 974 at Telstra Network Disruptions
  Goal: create a model to predict service faults on Australia's largest telecommunications network

• 3rd of 548 at Avito Duplicate Ads Detection
  Goal: create a model to detect duplicate ads in a Russian classifieds platform

• 6th of 985 at Facebook Recruiting IV: Human or Robot? (Top 0.6%)
  Goal: predict if an online bid is made by a machine or a human

• 13th of 2125 at Home Depot Product Search Relevance (Top 0.6%)
  Goal: predict the relevance of search results on homedepot.com