Joseph Czick Email & Phone Number

Milford, Nj, Us

· Orchestrated the deployment of generative AI solutions at Iron Mountain, including the creation of a chatbot and document summarization tool for customer service agents, boosting customer satisfaction by 25% and productivity by 20%· Designed and deployed a machine learning model to predict customer churn; facilitated data-driven retention initiatives, securing more than $2 million in annual revenue for Iron Mountain· Performed sentiment analysis on recent customer emails, phone calls, and chats, thus allowing agents to correct recent negative interactions, increasing CSAT scores by 10%· Mentored a team of four junior data scientists, resulting in a 40% improvement in project completion times and a 15% increase in model performance within six months

· Collaborated with business leaders to develop statistical models that save MetLife more than $3 million yearly by identifying fraud, waste, and abuse· Orchestrated A/B testing initiatives, driving a 20%+ increase in revenue by experimenting with and optimizing web page layouts and promotional offers· Led a team to migrate MetLife's data to Azure, ensuring zero data loss and achieving 30% faster access times while cutting operational costs by $100K annually· Developed a robust data warehouse, aggregating data from multiple departments, enabling data scientists to generate 25+ actionable reports and 8 predictive models in the first two years· Forecasted Covid-19's impact on MetLife's life and disability businesses using SIR epidemiological modeling, thus saving the company more than $6 million during the first two years of the pandemic· Devised and executed an agent performance tracking system and introduced a scheduling algorithm that improved caller satisfaction by 40%, increased overall call center productivity by 25%, and decreased call abandonment rates by 15%· Engineered interactive web applications for dashboards and comprehensive reports, increasing data accessibility and reducing manual report generation time by 50%

· Undergraduate Courses Taught: Business Statistics, Microeconomics, Industrial Organization and Public Policy· Facilitated professors research economic conditions in NYC, especially focused on labor and health data· Conducted research into the connection between childhood health and adult education and income

· Developed meteorological models that help insurance companies predict payouts in the event of hurricanes, floods, and other natural disasters· Analyzed client data to implement risk-mitigation strategies, reducing operational costs by up to 30%

Mse, Data Science

Ba, Economics