Data Scientist Iv (Sr.)
CurrentDeveloped data-driven solutions to business problems utilizing Machine learning models, analytical, statistical, and various programming languages to clean, aggregate, and analyze large data sets interpreting results. Implemented statistical techniques and machine learning algorithms determining where to invest time in synthesizing actionable findings across diverse assignments. • Leadership: Lead and mentored a high-performing analytics team to drive actionable insights, foster innovation, and deliver impactful solutions, resulting in significant process improvements.• Completed Analytics Life-Cycle: Problem solving, requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.• Analytical and Statistical Algorithms: Leveraged knowledge in various algorithms to help stakeholders explore methods to improve their business.• Data Analytics: Lead large-scale exploratory analyses for new data sources and new uses for existing data.• Data Pipelines: Established automated data pipelines across multiple data sources and types.• Reports and Visualizations: Visualized and reported data findings creatively in a variety of formats that provided insight to the stakeholders and explained the importance of patterns in the data.• Project Planning: Assisted in creating project plans to help the team achieve defined goals within deadlines• Customer Experience: Actively and consistently supported all efforts to simplify and enhance the customer experience.