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Ana Silva

Senior Data Scientist

Chief Data Scientist at Mercer's Global Digital Team

London, United Kingdom

Section title

Ana Silva's Email Addresses & Phone Numbers

Ana Silva's Work Experience

TIBCO Software Inc.

Senior Data Scientist

August 2013 to Present

London Wall

Edinburgh Partners

Data Science Consultant for Investment Research

April 2010 to April 2013

Edinburgh, United Kingdom

Banco de Portugal (BP)

Economic Statistician, Unit Coordinator

October 1999 to March 2006

Porto, Portugal

Ana Silva's Education

The University of Edinburgh

PHD Artificial Intelligence

2006 to 2010

Universidade do Porto

Masters (Mestrado) Data analysis and decision support systems 17/20 (among the top in the Master’s history).

2000 to 2003

Universidade do Porto

Masters (Licenciatura) Management 14/20

1992 to 1998

Ana Silva's Professional Skills Radar Chart

Based on our findings, Ana Silva is ...

Reasonable
Calm under pressure
Verbal

What's on Ana Silva's mind?

Based on our findings, Ana Silva is ...

50% Left Brained
50% Right Brained

Ana Silva's Estimated Salary Range

About Ana Silva's Current Company

TIBCO Software Inc.

Proposing TIBCO's unique suite from visualisation to real time passing through predictive analytics - to generate transformational value to blue-chip clients in diverse economic sectors (FSI, CPG-R, Health, O&G, etc) in EMEA, US, Canada, and Latin America. Dazzling customers with cool cool maths and technology.

Frequently Asked Questions about Ana Silva

What company does Ana Silva work for?

Ana Silva works for TIBCO Software Inc.


What is Ana Silva's role at TIBCO Software Inc.?

Ana Silva is Senior Data Scientist


What is Ana Silva's personal email address?

Ana Silva's personal email addresses are a****[email protected], and a****[email protected]


What is Ana Silva's business email address?

Ana Silva's business email addresses are not available


What is Ana Silva's Phone Number?

Ana Silva's phone +44 ** **** *278


About Ana Silva

📖 Summary

I am passionate about discovering knowledge hidden behind data and putting it to good use, thus adding value. As a quantitative researcher, I have worked with the following techniques: general descriptive statistics, stratified sampling, principal component analysis, clustering, time series clustering, parametric and non-parametric testing, decision trees, nearest neighbours, graphical models (hidden markov models and markov random fields), and regression, logistic or otherwise. As for tools, I have used SAS for 14 years, but also coded in Matlab, SQL, and VBA, and played around with SPSS. Recently, I fell in love with TERR/R, Knime, and Spotfire: the first for being universal, the second for being complex stats without coding, i.e. closer to what the world needs, and the latter for just making data discovery and predictive modelling simple and fun for any user, even non-numeric ones, i.e. even closer to what the world needs. I want to continue to work with numbers. And to continue dancing.Senior Data Scientist @ Proposing TIBCO's unique suite from visualisation to real time passing through predictive analytics - to generate transformational value to blue-chip clients in diverse economic sectors (FSI, CPG-R, Health, O&G, etc) in EMEA, US, Canada, and Latin America. Dazzling customers with cool cool maths and technology. From August 2013 to Present (2 years 3 months) London WallData Science Consultant for Investment Research @ Analysis of financial data with the goal of gaining a better understanding of the stock market’s behaviour and motivations over time. Single handed collection, cleansing and compilation of yearly financial data, starting in 1966, at different levels of aggregation - company, sector, country, world - and from different sources; analysis of this data using descriptive statistics, non-parametric testing, factorial techniques, clustering, and data mining algorithms, among others, with the goal of a) verifying existing and new hypotheses against data, and b) finding new hypotheses from data, that support to the company's investment decisions. From April 2010 to April 2013 (3 years 1 month) Edinburgh, United KingdomEconomic Statistician, Unit Coordinator @ Management of a team of between 7 and 18 people; automatic data cleansing and integration; application of ETL to compile data for all Portuguese Companies along ten years; development of a decision support system that increased my team’s productivity by 50%; analysis of financial data and mergers and acquisitions (M&A) with the goal of restoring comparability; creation of the Bank’s first database on M&A; BP's representative in the III Working Group on IFRS Impact and CBSO Databases, with members of six European Central Banks and IASB, to analyse the impact of IFRS and the usage of XBRL on CBSOs; conception of a strategy for improving data collection which culminated in the creation of a lobby for the introduction of XBRL in Portugal; application of probabilistic sampling techniques to select the minimum set of companies that could represent that sector of Portuguese economy; mapping Portuguese accounting data to the EU IV Directive and to IFRS. From October 1999 to March 2006 (6 years 6 months) Porto, PortugalMarket analyst @ Responsibilities: field work conducting direct questionnaires and supervision of the work team. From October 1998 to September 1999 (1 year) Porto, PortugalFinancial auditor @ Responsibilities: financial auditing field work for companies such as the Instituto Mexicano de Seguridad Social and an ONG. From October 1997 to July 1998 (10 months) Mexico City, MexicoPHD, Artificial Intelligence @ The University of Edinburgh From 2006 to 2010 Masters (Mestrado), Data analysis and decision support systems, 17/20 (among the top in the Master’s history). @ Universidade do Porto From 2000 to 2003 Masters (Licenciatura), Management, 14/20 @ Universidade do Porto From 1992 to 1998 Highschool, Economics @ Liceu Oliveira Martins From 1985 to 1991 Ana Silva is skilled in: Data Mining, Data Analysis, Statistics, Research, SAS, SQL, Matlab, Quantitative Finance, Document Analysis, Artificial Intelligence, Pattern Recognition, R, SPSS, Databases, Analytics, Time Series Analysis, Business Intelligence


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In a nutshell

Ana Silva's Personality Type

Extraversion (E), Intuition (N), Feeling (F), Judging (J)

Average Tenure

2 year(s), 8 month(s)

Ana Silva's Willingness to Change Jobs

Unlikely

Likely

Open to opportunity?

There's 93% chance that Ana Silva is seeking for new opportunities

Ana Silva's Achievements

First Prize at Academic Competition for the Best Table Location Engine

Issued by ICDAR 2013 Table Competition, International Conference on Document Analysis and Recognition · August 2013

PHD Scholarship

Issued by Fundacao de Ciencia e Tecnologia, Portugal · April 2009

PHD Scholarship

Issued by Microsoft Research · April 2006

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