My background skills are in all aspects of Statistics, Information Technology and Economics, with a particular emphasis in Conducting Research, Data Collection, Data Capture, Report Writing, Predictive Modelling, Business Intelligence, Machine Learning and Data Analysis.
Developing predictive models using multiple statistical techniques and provide support and assistance for the implementation of machine learning models in the campaign tool. Perform research concerning analytical methodologies, best practices, and technology. Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.
Design reports and dashboards using SSRS, Power BI, ThoughtSpot and Datazen. Build machine learning and statistical/data analysis using SAS, SAS Enterprise Miner, R, Python, Azure Machine Learning and SSAS to create highly accurate predictive and descriptive models based on large volumes of data, from across the enterprise to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase revenue, forecasting, churn models, simulation, segmentation models and regression models.