André Novaes Email & Phone Number

Londres E Região, Reino Unido

Mainly involved in dataset drift (concept drift and covariate drift) research.

Rio De Janeiro, Brasil

Mainly involved in optimization and data science.

Rio De Janeiro, Brasil

Data science and research activities conducted on automatic pressure transient analysis for the oil industry, specifically on buildup identification.

Liubliana, Eslovênia

Research on bio-inspired and evolutionary algorithms for multi-objective optimization under constraints.

Lisboa, Portugal

Research conducted, on the project FIREPUMA, in multi-agent systems, outliers detection and consensus algorithms.

Coimbra, Portugal

Research conducted, on the project INGESTALGAE, in deep machine learning models for cement finesse forecasting in industrial processes.

Coimbra, Portugal

Research conducted, on the project CONNECTA-X, in deep machine learning, statistical, and hybrid models for time series forecasting; Transformers networks, LSTM, RNN, SARIMA; Applications in IoT, smart grids and meters.

Rio De Janeiro

Research and applications conducted in deep learning LSTM networks and its development in the context of digital payment systems, eCommerce and data science.

Rio De Janeiro E Região, Brasil

I've developed: more efficient implementations of the Simplex algorithm for linear optimization applications; solutions in Natural Language Processing, including sentiment analysis, POS tagging, stemming & lemmatization, name entity recognition, latent semantic analysis. Datasets: medium (dozens and hundreds of MB) and semi-structured or unstructured..

Lisboa E Região, Portugal

I've mainly developed performance engineering and data science. Datasets were medium (hundreds of MB) and structured. Technologies I've used: MATLAB, Python. Algorithms: Genetic Programming, Econometrics. Results: Improvements of 80% in average time-performance of GPLAB; Development of econometrics and evolutionary computation based algorithms for.

Rio De Janeiro

- Thesis: “Econometric Genetic Programming: a New Approach for Regression and Classification Problems in Cross-Sectional Datasets”, with merit;- Scholarship: CNPq;- Publications:. "Econometric Genetic Programming Outperforms Traditional Econometric Algorithms for Regression Tasks", on GECCO-2017, Berlin;. "Econometric Genetic Programming in Binary.

Rio De Janeiro E Região, Brasil

I've developed portfolio construction, trading and backtesting; blobal markets research and analysis. Datasets were medium (hundreds of MB) and structured. Technologies I've used: Excel, VBA, Bloomberg. Algorithms: Descriptive Statistics, Technical Analysis.

Rio De Janeiro E Região, Brasil

Development and maintenance of tools and excel worksheets of corporate control (sales sector).

Rio De Janeiro E Região, Brasil

Development and maintenance of tools focused on internal process mapping and operations control.

Doctor Of Philosophy - Phd, Operations Research

Courses taken: financial and non-financial time series analysis and modelling, multivariate statistics, markovian stochastic processes.

Master'S Degree, Operations Research

DISSERTATION: "Econometric Genetic Programming: a New Approach for Regression and Classification Problems in Cross-Sectional Datasets".

Bacharel, Engenharia De Produção, Finanças

DISSERTATION: "Comparative Applied Study between Fundamental Analysis and Technical Analysis in Brazilian Financial Stock Markets", grade.

Specialization In Finance, Financial Markets And Corporate Finance

Activities and Societies: DESCRIPTION: Tools on corporate finance and financial markets modelling; WORKLOAD: 160 hours; COURSES.