• Managed team of one business intelligence analyst.• Worked across departments with all levels of the organization to convert business needs into analytical solutions.• Responsible for MHV’s Data Strategy, including ingestion, warehousing, transformations, report and visualization creation, governance and analytical modeling.• Lead MHV’s journey into AWS ecosystem, was responsible for risk assessment, due diligence and initial VPC set up, currently subject matter expert on AWS infrastructure.• Responsible for data pipeline, utilized Matillion, AWS services and Python to create batch and streaming pipelines moving structured (databases Oracle & SQL Server, flat files) and semi-structured data (JSON files, API’s, XML) into Snowflake data warehouse.• Designed and implemented all layers of Enterprise Data Warehouse, including staging, operational data store and Star/Snowflake Data Marts, centralizing all MHV’s data sources into one location.• Administered MicroStrategy Enterprise, including access controls, updates, designing meta data layer, advanced metrics and attributes.• Revamped legacy reporting converting static tabular reports into dynamic visualizations and real time alerts, while also creating self-service marts allow for citizen analysts to conduct ad-hoc analysis in a controlled environment.• Company storyteller, weaving data into an easy to digest format to provide insights to Executive team as well as Board of Directors.• Leveraging AWS Sagemaker, to test, train and deploy member attrition model to provide business with actionable intelligence on memberships with 90% or higher probability of terminating relationship within next 30 days.

• Responsible for all ad-hoc analytics for Inbound Sales and Retention group, representing ~7,000 employees and ~40% of annual sales.• Played a pivotal role in the creation of data science group for Residential Inbound Sales and Retention.• Utilize R to develop a multivariate regression forecast that was 20% more accurate than prior forecasting techniques.• Design and manage a database in Postgres to consolidate data sources post-merger for Business Planning group. • Lead meetings with call center leadership to provide insight into customer trends.• Create Tableau dashboards to more easily visualize descriptive statistics.• Develop predictive models with Scikit Learn, using a combination of supervised and unsupervised techniques to predict customer churn risk and develop appropriate save offers to mitigate risk.• Create various scenario analyses to provide senior leadership with insights into effects of operational changes.

• Responsible for reducing delinquent accounts payable by over $1 million within first 30 days.• Analyze the current accounts payable system and evaluate its effectiveness and ability to give desired results.• Create VBA programs to allow for a more fluid input and transfer of data between departments.• Conduct root cause analysis to discover underlining issues and develop near and long term solutions for resolution.• Resolve months of backlogged work, restore order and organization to processes, researched and solved billing problems and corrected invoicing errors that had previously been missed. Performed ad-hoc analysis and reporting as needed. Develop detailed spreadsheets to identify trends.• Helped determine errors with FX rates for international vendors.• Automate daily report structuring to improve efficiency and allow for cross-departmental analysis.

• Prepared professional reports defining and evaluating risks and recommending both quantitative and qualitative solutions. Articulated findings to management to provide insight into risks.• Perform research to assist in development of project scope, define requirements and propose changes.• Collaborate with others in the organization to improve synergy and ensure successful implementation of chosen problem solutions. Proposed ways to improve operational procedures to increase both efficiency and effectiveness.• Created Monte Carlo simulations to establish new forecasting, tracking and management reporting system to improve overall departmental performance and increased departmental productivity by 50%.• Created dashboards to show employees’ standings using VBA which allowed for a more fluid flow of information.• Utilized existing systems to identify trends and develop KPI strategies.• Leveraged databases to provide analytics on the state of the department. Analyzed strengths and weaknesses and identified areas for improvement. Developed tactics to increase profitability within the department.• Responsible for various operational forecasts and conducting variance reports.