I have helped design and implement changes to how Enghouse approaches analytics as a company.by standardizing metrics and KPIs globally across 26 sales teams.Implemented strong operational cadences from business commits to mid quarter reviews to yearly business planning.Optimized reporting though onboarding new analytical tool (PowerBI) and a SQL server to interconnect all our various data sources to begin moving the company off of Excel.Built and maintained reporting for board and C-level audiences that help shape the stories and steer the business.Managed an end-to-end Business plan for a 50M piece of our business.Worked with industry leaders such as Microsoft, Red Hat, Uber and PagerDuty to build out and maintain:global forecast modeling: utilizing top down, bottoms up and blended methods.Channel performance propensity and rankings to define partner sales expectations and KPI’s.market basket analysis across product groupings by tuning an Apriori algorithm.revenue optimization and root cause analysis.Utilized a Latent Dirichlet allocation (LDA) method for topic modeling and sentiment analysis over both email campaign responses and COVID response.utilized isolation forest clustering modeling to find anomalies in customer spend year over year to define targeted plays for both high and low spend accounts.Defined sales quota/comp, built sales-plays, tracked and modeled activities to help drive the day-to-day management of the business and to help sales reps own their pipeline.organized and maintained regular meetings between sales/operations/marketing/R&D and finance.helped with modeling bookings to revenue recognition and forecasting P&Ls Tools Utilized: Tableau, PowerBi, Salesforce, Jupyter Notebook, Knime, R studio, Dbeaver/SSMS, and Excel to build out dashboards and reporting
