Developed predictive models to identify customer churn and segmentation and successfully implemented models into the production environment.Lead analytics projects and collaborates with cross-functional stakeholders to complete end-to-end analyses that includes business requirements, data gathering, analysis, scalable solutions, and presentations.Implemented new statistical, mathematical, machine learning, or other methodologies for modeling or analyses.Documented contractual terms and tariffs into Kinder morgan proprietary computer systems.Implemented demand forecasting models, improving data forecast accuracy by 40%Discovered insights from Big Data to help shape or meet specific business needs and goals.Developed data pipelines to support data-driven decision-making, enabling automated insights and reporting to stakeholders.Contributed to the company’s posts, promoting the company’s analytics platform, increasing customer traffic by 10%Collaborated with cross-functional teams to tackle complex technical challenges, effectively improving overall team efficiency by 15%.

Offered approaches to simplify data integration processes and standardize data feeds across systems.Explored data to uncover hidden patterns and trends, providing valuable insights for business decisions.Worked with Sales, IT and marketing teams to optimize key workflows to identify costs, results and opportunities, streamlining business resources by improving internal system integration.Worked on projects involving large data sets and multivariate analysis to develop models for predicting user behaviorAssisted in the management of a $1.8M capital investment plan, ensuring all projects met health and safety regulations.Troubleshoot issues when contract data does not interface to downstream system and coordinates resolution with IT and affected stakeholders.Collaborated with other teams across Microsoft and developed key metrics to achieve business outcomes.