As an Analytics Consultant, I lead a team focused on measuring digital equity across the United States. Using advanced technology, we provide policymakers with insights on broadband availability, adoption, and use.

Designed, delivered, and monitor machine learning predictive models related to acquisition and churn. These have been successful in reallocating and reinvesting a significant portion of our departments budget.Lead experimentation hypothesis and design (A/B) to help marketers understand their impact on acquisition, retention, and customer experience.Created a statistical time series forecasting model by extrapolating historical patterns, trends, and seasonal cycles to better set customer acquisition/retention expectations for the upcoming year, with an accuracy tolerance within 98% of actuals.Project lead on an initiative to overhaul the omnichannel end-to-end customer experience to include onboarding, activation, and ongoing engagement for an extremely high-risk population of customers including strategy, leadership buy-in, developing requirements, success criteria, backend infrastructure, and data model design to maximize the investment in Salesforce Marketing Cloud.Oversaw development of two scalable recommendation systems, delivered front and back-end requirements to power dynamic infrastructure.Manage relationships with leadership by reviewing scorecards, providing guidance on development of quarterly marketing plans, assist with defining KPI’s, and identifying the right opportunities and initiatives for A/B testing.Oversee and mentor junior data scientists on refactoring legacy python and SQL codebases, analysis, and communication best practices.

Provided hands on experience with design, creation, configuration and operation of Azure cloud resources.Lead the strategy, planning, roadmap, and architecture discussions to modernize the data engineering and data science ecosystems using the Microsoft Azure cloud. Promote the vision of the data science platform to all levels of the organization.Built data pipelines, predictive ML models and dashboards using Python, R, Databricks, SQL, Power BI and Tableau.

Lead the design and deployment of a modern data platform by utilizing Esri and Azure cloud technologies. Responsible for the oversight of budget, staff and contracts relating to the location intelligence program.Align applications and services with business needs to drive positive outcomes. Managed multiple projects overseeing both vendor and internal resources.

Led the Enterprise Data Analytics team. Built data pipelines and data models using Python and SQL used to inform policies and zoning laws. Worked in a cross-departmental team to define DCP’s digital innovation strategy and roadmap inclusive of data, applications and staffing. Awarded the Excellence in Service Award for innovative use of technology from Best of New York City Award.

Lead a team of data analysts responsible for determining and reporting on the best locations for natural gas infrastructure improvements. Built data pipelines using Python to reduce the analysis and reporting time by 50%. Transformed large datasets and ran regression analysis to predict natural gas usage based on air temperature.

Determined best locations for infrastructure improvements using historical and near real-time data including inspection reports and gas leak notifications. Built data pipelines using Python to automate data ingestion, analysis and reporting tasks. Created and analyzed data using Esri GIS software.

Collected, cleaned and interpreted data from different sources. Aggregated data into centralized SQL databases.