Emmanuelle R. Nunes

Emmanuelle R. Nunes

Senior Data Scientist

Microsoft / Lionbridge

Biography

I’m a Senior Data Scientist at Microsoft. I currently work with Xbox games data. I’m the creator of RLadies chapter in Reading, and I’m a certified The Carpentries Instructor.

I love sharing knowledge; this being why I decided to create this blog. Here I hope to share about courses I’m taking and explain concepts for a broader audience. I hope you can enjoy my space and contact me if needed.

Download my CV.

Interests
  • Artificial Intelligence
  • Statistics
  • Machine Learning
  • Epidemiology
Education

  • MSc Advanced Computer Science, Ongoing

    University of Reading

  • BSc in Statistics, 2017

    University of Sao Paulo

Skills

R

90%

Statistics

100%

Python

75%

Weight-lifting

30%

Experience

 
 
 
 
 
Senior Data Scientist
Lionbridge
May 2021 – Present Reading, UK

Responsibilities include:

  • Data Quality Analysis
  • Game related predictions and analysis
  • Mentoring junior data analysts
 
 
 
 
 
Data Scientist
Lionbridge
Sep 2018 – May 2021 Reading, UK

Responsibilities include:

  • Data Quality Analysis
  • Game related predictions and analysis
 
 
 
 
 
Data Scientist
PagSeguro
Sep 2017 – Aug 2012 Sao Paulo, Brasil

Responsibilities include:

  • Analysis for different areas of the company
 
 
 
 
 
Pricing Intern
B3
Jan 2017 – Sep 2017 Sao Paulo, Brasil
Use of time series analysis to understand the prices of stock and commodities

Accomplish­ments

Neural Networks and Deep Learning
Coursera Oct 2018
See certificate
Blockchain Fundamentals
edX Mar 2018
Formulated informed blockchain models, hypotheses, and use cases.
See certificate
Object-Oriented Programming in R: S3 and R6 Course
DataCamp Jul 2017 – Dec 2017
See certificate

Recent Posts

Random Variables
We talked before about probability using simple sample spaces, but in reality, we will map situations to probabilistic models that cater to all possible results. The variables to which we are going to construct probabilistic models are called random variables.
Oct 10, 2021 5 min read Probability, Random Variables, Introduction
Conditional Probability
For any two events A and B, with \(\mathbb{P}(B) > 0\), we define the conditional probability of A given B (\(\mathbb{P}(A|B)\)) as \[\mathbb{P}(A|B) = \frac{\mathbb{P}(A \cap B)}{\mathbb{P}(B)}\] Example: We throw a dice once, and it lands on an even number.
Sep 22, 2021 8 min read Introduction, Statistics, Probability, Bayes theorem
Conditional Probability
Introduction to Probability
Probability is at the heart of statistics, as most of the time, we won’t have the entire dataset to work on. Still, instead, we will need to understand how the population works relying on a sample.
Sep 19, 2021 3 min read Statistics, R, Probability
Introduction to Probability
Basic Statistics - Part 2
Bidimensional Analysis Previously we talked about understanding the distribution of a single variable, i.e., to summarise the data set. Frequently we are interested in understanding how two or more variables behave together.
Last updated on Oct 3, 2021 3 min read Statistics, R, Analysis
Basic Statistics - Part 1
Statistical Analysis So, you are starting your journey into the statistical world, maybe because you are interested in analysing data, perhaps because you are working with datasets already and find yourself needing to draw meaningful conclusions from them, or perhaps you just want to know more about statistics.
Oct 3, 2021 4 min read R, Statistics
Basic Statistics - Part 1
Hello Blogging World
It’s been a while since I created this blog, but I haven’t figured out what to write and what to share here, but I want to make it a habit of putting my mind and thoughts into words.
Last updated on Sep 14, 2021 1 min read R, Statistics
Hello Blogging World
See all posts

Projects

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Recent & Upcoming Talks

Evolution Strategies (ES) as an alternative to Reinforcement Learning (RL)
RSS Conference 2021 Fire-Talk presentation
Sep 6, 2021 3:00 PM — Sep 9, 2021 7:00 PM Mancesther Central
PDF Project Slides
Evolution Strategies (ES) as an alternative to Reinforcement Learning (RL)

Recent Publications

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Emmanuelle R. Nunes (2019). An example preprint / working paper.

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Emmanuelle R. Nunes, Robert Ford (2015). An example journal article. Journal of Source Themes, 1(1).

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Popular Topics

Academic bayes bidimensional analysis central values conditional probability Conference correlation Deep Learning Demo dispersion Evolution Strategies independence introduction motivation plot Poster Probability R Source Themes statistics

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