Rogerio Paulo

NOVA IMS Information Management School

Relevant Coursework: Programming for Data Science, Machine Learning, Data Mining, Statistics for Data Science, Big Data Modeling & Management, Data Visualization, Business Case, Business Intelligence and Business Process Management

UEM - Universidade Eduardo Mondlane

Relevant Coursework: Introduction to Statistics, Probability Theory, Statistical Inference, Regression Analysis, Experimental Design, Multivariate Analysis, Time Series Analysis, Statistical Computing, Bayesian Statistics, Data Visualization, Nonparametric Statistics, Survey Sampling, Stochastic Processes, Biostatistics and Econometrics.

Data Analyst Lecturer

UEM-Universidade Eduardo Mondlane

Activities and Responsibilities: Pattern and Trend Identification: Teach how to identify patterns and trends in data, and analyze and interpret them for strategic decision-making. Data Collection Systems: Instruct on developing and implementing data collection systems to optimize the efficiency and accuracy of data analysis. Market Research and Competitor Analysis: Guide on conducting market research and competitor analysis to recommend data-driven strategies for business growth. Collaboration and Visualization: Teach how to collaborate with cross-functional teams to create data visualizations and reports for stakeholders. Statistical Tools and Techniques: Educate on utilizing statistical tools and techniques to analyze complex data sets and generate actionable insights. Database Management: Instruct on managing databases and ensuring data integrity through regular quality checks and audits. Data Analysis Techniques: Teach data analysis techniques and best practices.

Data Scientist - Research Grant Holder, within the scope of the Annual National Accounts project at the National Accounts Department

INE

Project to Estimate Actual and Imputed Housing Rents in Portugal Activities and Responsibilities: Data Analysis and Organization: Analyzed and organized data sources, specifically data from the 2021 census and electronic rent receipts provided by the tax and customs authority. Literature Research: Conducted research and studied literature in this field, including previous work based on the 2011 census. Model Specification: Specified models and outputs to be produced, based on key characteristics of the dwellings (type of accommodation, location, year of construction, type of occupancy). Programming: Developed models for calculating actual and imputed rents using SAS and R. Report Preparation: Prepared a final report explaining the sources, methods used, and results obtained. Presentation and Publication: Presented findings and published results in peer-reviewed journals.

Project management for continuous improvements in production and Data & Business analyst.

Companhia Industrial da Matola

Implementation and supervision of projects aimed at improving production processes, reducing variations and meeting customer requirements to maximise business profitability. Managing critical information that supports the business and classifying and segmenting data into transaction and analytical data. Analysing sales profiles, key performance indicators, sales and production projections. Calculation of product prices and Inventory Map for sales incentive. Calculating the sales budget for each financial year.

Head of the Credit Control Department

Oceana Distribution, Lda

Market route control and management for the sales and collections team. Analysing customer and supplier credit portfolios (credit limits). Calculating incentives for salespeople. Analysing promotions and key performance indicators. Control of the collections map and term operations with banks and stock of products in warehouses.

Asset and Liability Manager and Responsible for Management Information

Moza Banco

Preparation of the assets and liabilities committee report. Calculating and managing commercial rates. Management of banking operations. Analysing customer segments. Responsible for assisting and managing the institution's database. Supporting the end user of the data. Calculating employee performance indicators.

University Lecturer

Universidade Eduardo Mondlane

Teaching of subjects: Data Analysis. Econometrics. Time Series. Probabilities and Statistical Methods. Stochastic Processes. Statistical Inference. Operational Research. Statistics for Social Sciences. Biostatistics. Experimental Statistics. Mathematical Statistics.