Demonstrated history in analytics, financial planning and forecasting, pricing strategy, operational optimization, anomaly detection, actionable insights and risk assessment.
Skills include: identifying the greatest analytical opportunities, collection of large data sets from various sources, validating and cleaning data to ensure accuracy; applying models, logic and algorithms to mine data; identifying data patterns and trends; interpreting data to discover solutions and opportunities; and communicating results in a clear and concise way to key matrix partners.
Skills: R, Python, SQL, SAS, Big Data, IoT, data cleansing, data modeling and data mining.
