Mauri Lima

I have approximately 6 years of experience in daily work with Python and R for academic and personal purposes, developing research projects in masters and doctoral degrees, as well as using Python language for professional purposes. Practical activities such as automated data collection, preparation and analysis, statistical modeling, Machine Learning (neural networks, genetic algorithms, FPA, PSO), database and other mechanisms for statistical analysis. 

• Experience with R and Python, as well as popular data science libraries, including Tidyverse and Pandas.
• Experience with Machine Learning:
➲ Supervised: Linear Regressions, Logistics Regressions, Support Vector Machines, Discriminant Analysis, Naive Bayes, Nearest Neighbors, Decision Trees, Neural Networks, Genetic algorithms, Flower Pollination Algorithm and Particle swarm optimization algorithm;
➲ Unsupervised: Clustering (K-Means, Hierarchical, Gaussian Mixture), Factor Analysis of Principal Components, Single and Multiple Correspondence Analysis
• Experience with statistical modelling, regression, causal inference, simulations, time-series, NLP and hypothesis testing.
• Experience with presentation and reporting tools, reproducible R Markdown documents and Jupyter Notebooks, as well as data visualization libraries such as plotly, ggplot2, seaborn, matplotlib.
• Familiarity with automated data science workflows.
• Strong Excel skills, including pivot tables, pivot charts, and advanced formulas.
• Familiarity with AWS.

PhD student in Nanotechnology at the Federal University of ABC. MBA in Data Science and Analytics from USP. Master in Mechanical Engineering from UNESP. Graduated in Industrial Engineering from UNESP. Member of the Optical Society of America - OSA (2020 - 2021).

Visiting Researcher at the University of New Brunswick, developing a study and analysis of the data present in the research processes, using R and Python. In Canada, I participated in a conference entitled "26th Annual Graduate Research Conference (GRC)", where I received an award for the 3rd best paper presented.

Fui selecionado pelo Governo Canadense no Programa ELAP(Emerging Leaders in the Americas Program), onde fiquei 6 meses financiado pelo governo para desenvolver pesquisas nas área de Data Science. Trabalhei como Analista de dados na B2W - Americanas, em 2019. Em 2020 entre para Cielo como Especialista em Ciência de Dados. Paralelamente desenvolvo minha pesquisa de Doutorado em Nanotecnologia na Universidade Federal do ABC.

Sou Engenheiro Industrial formando pela UNESP, com mestrado em Engenharia Mecânica na UNESP em parceria com a University of New Brunswick (Canadá), MBA em Data Science and Analytics pela USP, e atualmente Doutorando em Nanotecnologia pela Universidade Federal do ABC.