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Statistician with Data Science and Machine Learning experience
Emmanuelle Rodrigues Nunes
,
Reading, United Kingdom
Experience
Other titles
Skills
I'm offering
I'm Emmanuelle, a statistician from Brazil. I am enthusiastic when it comes to Statistics, machine learning and technology.
I'm passionate about studying subjects related to what I do, mostly online courses, to learn more about Deep Learning, AI, NLP and more.
I've started my career ad a Pricing Intern at the Brazilian stockmarket exchange where I learnt about volatility, time series analysis involving GARCH and EGARCH models and started my journey into R Shiny dashboards.
After this opportunity, I worked as a Data Scientist at a Fintech where we worked in a consultancy mode to different areas of the company. I've worked on projects that automate the identification of a face in ID's, a task that was previously done manually and reduced the team workload in 40 extra hours a week to get involved in other projects by automating this process.
At Microsoft, I've been working with games telemetry and I developed a KPI to understand of one the key aspects of a game and now this KPI is becoming standard across the organisation.
I'm passionate about studying subjects related to what I do, mostly online courses, to learn more about Deep Learning, AI, NLP and more.
I've started my career ad a Pricing Intern at the Brazilian stockmarket exchange where I learnt about volatility, time series analysis involving GARCH and EGARCH models and started my journey into R Shiny dashboards.
After this opportunity, I worked as a Data Scientist at a Fintech where we worked in a consultancy mode to different areas of the company. I've worked on projects that automate the identification of a face in ID's, a task that was previously done manually and reduced the team workload in 40 extra hours a week to get involved in other projects by automating this process.
At Microsoft, I've been working with games telemetry and I developed a KPI to understand of one the key aspects of a game and now this KPI is becoming standard across the organisation.
Markets
United Kingdom
Industries
Language
English
Fluently
Spanish
Good
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2018 - ?
job
Data Engineer / Scientist
Microsoft / Lionbridge.
UK
2017 - 2018
job
Data Scientist
PagSeguro.
• Use of Statistics and Machine Learning techniques to answer business
questions. Company areas that I've worked with include Marketing,
Telecommunication, Logistics and CRM.
• Creation of reports and presentations for the company with the results
obtained within the analysis.
• CRISP-DM methodology (business understanding, data analysis and modelling)
• Technologies used: R, R Shiny Dashboards, SQL and Python
questions. Company areas that I've worked with include Marketing,
Telecommunication, Logistics and CRM.
• Creation of reports and presentations for the company with the results
obtained within the analysis.
• CRISP-DM methodology (business understanding, data analysis and modelling)
• Technologies used: R, R Shiny Dashboards, SQL and Python
2017 - 2017
job
Pricing Intern
B3.
• Pricing Intern for the Brazilian Stock market
• The main role was to analyse and model the volatility of stocks and commodities.
• Activities included statistical analysis and modelling involving
optimisation techniques, simulation, stochastic calculations and time
series analysis.
• Technologies used: SQL, R, R Shiny Dashboards and Excel VBA
• The main role was to analyse and model the volatility of stocks and commodities.
• Activities included statistical analysis and modelling involving
optimisation techniques, simulation, stochastic calculations and time
series analysis.
• Technologies used: SQL, R, R Shiny Dashboards and Excel VBA
Excel, Sql, R, VBA, Optimization, Calculations, Internal
My education
?
-
2019
University of Reading
MSc, Advanced Computer Science
MSc, Advanced Computer Science
?
-
2017
University of Sao Paulo
BSc, Statistics
BSc, Statistics
?
-
2015
University of Helsinki
MSc, Event-history Analysis
MSc, Event-history Analysis
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