Eric W. Email & Phone Number

San Francisco, California, Us

San Francisco, California, Us

Lead a high-performing team of data and applied scientists, driving the delivery of valuable insights and solutions to support both the technology and understanding of customer experience at Uber.Champion the application of rigorous applied science approaches to customer support product problems, employing techniques such as machine learning, experimentation, causal inference, time series analysis, and natural language processing to drive impactful product launches.Collaborate closely with cross-functional teams, including product management, engineering, operations, and senior business leaders, to successfully execute projects that enhance the customer support experience.

San Francisco, California, Us

Led end-to-end ownership of the Customer Health Intelligence Application Suite, driving proactive customer health insights and engagement recommendations for Salesforce's $XX B customer base. This initiative resulted in increased product adoption, accelerated growth, and record low attrition rates.Successfully expanded the data science team from a small unit to a multi-disciplinary team encompassing data science application, business advisory, and product management functions.Designed and spearheaded the implementation of a Scalable Data Science Application Development Framework. This framework reduced the product launch cycle from 6 months to just 2 months per product category, leading to an estimated annual productivity uplift of $X M.Developed and implemented a machine learning-based contract level attrition prediction solution. This solution not only improved operational efficiency but also resulted in an estimated annual productivity uplift of $X M by mitigating customer health risks proactively.

San Francisco, California, Us

Dublin 2, Ie

Developed a team of XXX data professionals, enhancing their capabilities in machine learning, data science, and artificial intelligence through structured training, peer-based mentoring programs, and participation in machine learning competitions.Led data science engagements for major customers in industries such as utilities, communication & media, and product verticals. These engagements involved leveraging advanced analytics and data-driven solutions to drive business value and deliver impactful results.Spearheaded the development and execution of go-to-market strategies for Accenture's data science and artificial intelligence offerings. This involved identifying target markets, defining value propositions, and collaborating with cross-functional teams to ensure successful implementation and adoption.

Dublin 2, Ie

Palo Alto, Ca, Us

Leveraged analytical, management, and leadership expertise throughout all stages of client interactions, including business development, pre-sales consulting, solution building, and solution deployment. Applied a data-driven approach to deliver impactful solutions that met client needs.Successfully led regional and global data science teams during client engagements, driving collaboration and ensuring the delivery of high-quality solutions. Contributed significantly to HPE's global analytics practice, exceeding overall analytics revenue targets.Demonstrated expertise in translating complex business problems into actionable insights by leveraging advanced analytics and machine learning techniques. Enabled clients to make data-driven decisions and achieve measurable business outcomes.

Sydney, Nsw, Au

Collaborated with the Chief Economist and Group Head of Corporate Affairs to conduct a data-driven investigation on solar tariff fraud. The insights provided played a crucial role in redefining solar tariff policies for the state government, contributing to more effective and efficient regulations.Designed and developed a retail value-based customer acquisition model that yielded an estimated annual revenue uplift of AUD XX M. This model became a cornerstone of the company's retail strategy, driving customer acquisition and revenue growth.Revamped retail credit risk models, resulting in a 10% increase in performance. The enhanced models delivered estimated positive business impact of AUD X M over a two-year period, as evidenced by cost-of-capital savings and improved risk management.

Melbourne, Vic, Au

Successfully built and deployed 11 complex statistical and machine learning models within a span of 12 months. Nine of these models were implemented in production systems, driving actionable insights and delivering measurable results.The Customer Churn Prediction model, in particular, played a significant role in generating a six-month incremental net profit of AUD X M, with an incremental ROI of XXX%. This model empowered proactive retention strategies and enhanced customer loyalty.Demonstrated expertise in end-to-end analytics project management, overseeing the entire lifecycle of projects. Mentored junior analysts, providing guidance and fostering their professional growth.

Macquarie Park, Nsw, Au

Played a key role in enhancing organizational sales forecasting by designing and implementing data models for sales forecasting. These models were successfully applied to ten telecommunication retail stores and two direct sales channels, providing accurate and actionable sales projections.Demonstrated strong project management skills by successfully managing multiple projects and overseeing end-to-end solution implementation. This included coordinating with cross-functional teams, ensuring timely delivery, and achieving project objectives.

Phd Candidate, Econometrics And Quantitative Economics

Master (Postgraduate First Class Honours), Applied Econometrics

Master, International Business