In my role as a data scientist, I work on a range of projects focused on extracting insights and building predictive models to drive informed decision-making. My work includes developing frameworks to detect anomalies in large datasets, forecasting trends to anticipate future demand, and analyzing complex data patterns across various metrics. I collaborate closely with cross-functional teams to ensure our models align with business goals and provide actionable insights. Additionally, I design interactive dashboards for real-time monitoring and validation, incorporating feedback to continually refine our models and improve overall accuracy.

Manage and contribute to data projects for Consumer Operations group. Identify redundancies, operational inefficiencies, and recommend solutions to Directors/Executive Team.Responsible for demand forecasting and capacity planning for a large contractor budget.Responsible for research and development of data solutions which include: -Business trend identification -Machine learning algorithms -Non linear solvers -DashboardsTools used: Alteryx, Power BI, Python, SQL, and Excel

Research and develop data solutions for Consumer Operations group.Utilize Power BI, Python, Excel, SQL, and Alteryx to analyze large quantities of data for reporting purposes.

Process large amounts of confidential informationTake projects from start to finish independently

Built framework to implement Prime Contractor legislationReworked the way employees from all over the organization access information

Retroactively went through large engineering project to audit project spending.Utilized financial, accounting, and engineering knowledge base to extract data from a lot of ambiguous documentation.Presented findings to COO

Perform background calculations to select suitable mechanical equipmentManage projects around the plantWork with complex sets of deliverables to comply with ASME B31.3