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Tiago Vinhoza

Data Scientist - Machine Learning, Data Mining, Statistics

I am a data scientist and researcher with a PhD in Electrical Engineering and over 10 years of experience in applying machine learning, signal processing, statistics, and data analysis/visualization techniques to various domains, such as healthcare and wireless communications. I have a track record of delivering solutions and results in challenging and complex projects, both individually and as a team members. I have experience working with a multidisciplinary team (people from electrical engineering to computer and medical sciences) and with researchers from top universities (Carnegie Mellon, MIT).

My curriculum is here

Skills

I have expertise in the following areas:

Exploratory data analysis and hypothesis testing
Supervised and unsupervised machine learning
Deep learning and natural language processing
Time-series analysis
Statistical Signal Processing, Probabilistic Models, Linear Algebra
Data visualization and dashboard development (Tableau Public, Microsoft PowerBI, and Streamlit)
Programming Languages: Python, R, Julia, SQL
Scikit-learn, Keras, and other frameworks and libraries
Tools to explain black-box machine learning models predictions (Shapley values, LIME, Rule Fit, Surrogate Models).

tiago.vinhoza[at]gmail.com