Ian Shepherd Email and Phone Number

- Built predictive models for various soccer leagues (MLS, EPL, La Liga, Serie A, Bundesliga, Ligue 1)- Designed python data pipelines to automate data collection, prep, storage, and predictive model outputs- Created and actively maintaining two open python source packages, reus and pybettor

- Identified anomalies and trends affecting the health of over 10 million servers and forecasted future impacts of lost server time if not mitigated using advanced statistical methods such as kernel density and sankey plots- Developed Statistical Process Control alerting to detect significant deviations in the unavailability of AI Servers for each data center, enabling prompt remedial actions to be taken- Designed an A/B test to evaluate the impact of expanding the operating envelope of server environmental conditions, resulting in a ~60% decrease in water and energy consumption- Utilized random forest models to quantify the impact of various factors such as material shortage and time to diagnose on different AI server models, providing critical insights to optimize resource allocation- Developed simulations to quantify the impact of idle time and underlying metrics on AI server unavailability during the repair process and assessed subsequent ramifications on the rest of the fleet based on resource allocations- Established operability benchmarks of server health metrics for new platforms released into mass production, providing a reliable way to track the success of the transition to maturity since deployment

- Built data pipelines that ingest data from disparate data sources to forecast performance- Designed customer lifetime attribution models for services offerings- Architected Informatica’s NextGen Analytics initiative using python, SQL, and Informatica software which will move the top 90% of reporting needs from legacy software to a centralized location

- Lead architect on 10-month implementation of Professional Services Power BI reporting hub that drives all major reports and provides management with actionable insight into $100M+ business- Led implementation of aggregated reporting tables which act as a central repository for Tableau consumption to manage $500M+ Renewals business- Created dashboards for customer success management team to run day-to-day business, manage customer adoption, and provide compensation tracking (~2200 views/month)

- Analyzed client demographic information and purchasing patterns to dictate campaign strategy- Built 20+ predictive models to identify prospects and personas to target for various technology product initiatives- Built dynamic, self-service dashboards to measure campaign performance

- Assisted in developing business plan and forecasting results- Produced and analyzed various reports tracking marketing metrics for Executive Management- Create and maintain model to spread yearly plan metrics by day- Administer ArcMap mapping software to define and represent data dynamically- Trained 5+ new associates on ArcMap as subject matter expert

- Distributed department wide reports measuring business performance- Redefined 60%+ of marketing territories and regions throughout the United States based on customer demographics- Presented redefined territories and regions to Chief Marketing Officer for approval