Support the content acquisition, compliance, marketing, and product teams by leveraging internal and external data to assess the financial impact of strategic initiatives and generate customer insights• Develop customer and television network segmentation models utilizing customer viewing data and Python to forecast impacts on customer retention and asses programming partnerships• Create financial models and conduct scenario analysis to support deal negotiations by integrating churn, revenue, and expense forecasts to quantify the long-term value of programming contracts • Design metrics to assess the historical performance of television networks and provide the content acquisition team with detailed analyses of the relative value generated by Charter’s $10 billon annual programming budget • Asses competitor product offerings and financial margins to identify at risk customers by using SQL, Python, and Tableau on internal and publicly available data to quantify and assist in mitigating any potential financial loss to Charter • Execute and manage new data analytics commitments with external programming partners to support their strategic initiatives and joint ventures with the Charter original content team• Work closely with our business intelligence and IT groups to continuously improve and expand data capabilities and collaborate with finance, accounting and marketing teams to integrate budget projections, historical expenses, and customer attributes into one easily accessible platform

Responsible for the reporting and performance tracking of the Operations department. Worked with partners in the South America region ensuring cohesive reporting and metrics across the business unit and implemented advanced analytics and forecasting tools• Led projects and teams to automate analysis and reporting, reduced report generation time from days to minutes by implementing procedures using SQL, Python and SAS, replacing manual Excel processes• Analyzed the financial health of third party contractor companies by building and reviewing financial models and projections in Excel, lead P&L discussions with local project teams• Provided statistical analysis of field service data; created reports and metrics to quantify impact of initiatives; generated models to estimate future impact and perform scenario analysis to facilitate decision making• Traveled to Latin America region regularly, working directly with local counterparts to assess reporting needs and managed the development of new forecasting tools• Created customer work-order demand forecast in collaboration with marketing and finance teams, improved forecast accuracy to +/- 5% from historical 15-20% accuracy range. • Built Excel models to forecast workforce/staffing requirements; ran scenario analysis to estimate financial impacts and provided key information for business cases helping guide management decision process

Managed the development and implementation of quality control software for the Latin America technician workforce. Analyzed the impact of the tool and provided recommendations to management for further expansion and improvements• Coordinated with local business unit management for pre and post launch readiness, deployed software to over 2000 technicians resulting in a 40% improvement in installation quality and operational savings from reduced service calls• Developed business cases for expansion of quality control device into different business units, modeling potential costs and savings for the company, project was expanded into 7 out of our 9 business units • Wrote functional requirements for quality control software incorporating user feedback and worked closely with software development teams to set project priorities, deliverable time-lines, and updated senior management of project status• Assisted regional training team in developing technical training material; participated in Train the Trainer initiatives and delivered training during the initial rollout of quality control software

Analyzed hardware failures and identified failure trends in manufacturing process and in fielded products• Established hardware analysis and experimentation lab in Los Angeles, CA and in Memphis, TN; managed six person team; relocated to Memphis for 1 year to oversee project expansion and successfully delivered in budget and on time• Designed experiments to stress refurbished hardware, identified weaknesses in screening process; Worked with operations team to help drive improvement of refurbished unit quality from over 20% failure rate to under 5% for certain models, good as new failure rate achieved for other models. • Analyzed failures from newly introduced hardware models to drive corrective actions early in the production cycle, resulting in significant improvement in factory yields and reduction in field failures• Revised corrective action submissions from OEM partners, performed statistical analysis to determine effectiveness of changes and issued production stop recommendations until critical issues were fixed;• Frequent Travel to refurbishment centers and to customers sites to gather data on hard to replicate issues, helping our design teams improve reliability of hardware