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probability and statistics ---
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Maximum Likelihood Estimation work
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Math Statistics specialist
“An awesome job with my statistic assignment I needed help with, beyond expectations. Would recommend and definitely hire again!”Matilda L. há 3 anos
Data ScientistJan 2017
Designing and building advanced analytics solutions Creating algorithms to extract information from large data sets. Developing predictive algorithms using R, SAS and SPSS Modeler Developing metrics and prototypes that can help drive business decisions. Designing, developing and deploying data analysis systems for large data sets Establishing scalable, efficient, automated processes for model development, validation and implementation
M.S. Degree in Statistics - Data Science - Bige Data2013 - 2016 (3 years)
Machine Learning Certification by Stanford University (2018)Coursera
In this course, students learn about Supervised learning, Unsupervised learning among other key areas. The course includes multiple case studies and applications to help students learn how to apply algorithms to build smart robots. It gives a better understanding of parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics.
IBM Data Science Professional Certificate – Coursera (2019)Coursera - IBM
The certification consists of a series of 9 courses that help students to acquire skills required to work on the projects available in the industry. The lectures span a broad range of topics including data visualization, analysis, libraries, and open-source tools.
MIT Data Science and Statistics Certificate – edX (2019)MIT - edX
This certification contains a series of 5 courses that will help students strengthen their foundation of data science, statistics and machine learning. They will learn to analyze big data and understand how to make data-driven predictions through statistical inference and probabilistic modeling to extract meaningful data for decision making.
Deep Learning Certification – deeplearning.ai (2020)deeplearning.ai
Students can learn how to build neural networks and lead successful machine learning projects through this 5-course specialization. Students will be taught about Python, Tensor Flow, RNNs, LSTM, Adam, Convolutional Networks and Xavier initialization among other aspects.
ASL Recognition with Deep Learning
Build a convolutional neural network to classify images of letters from American Sign Language.
Text Mining America's Toughest Game Show
Use text mining to analyze Jeopardy! data.
Modeling the Volatility of US Bond Yields
Discover how the US bond yields behave using descriptive statistics and advanced modeling
Classify Song Genres from Audio Data
Apply machine learning methods in Python to classify songs into genres.
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