Grant Webb is a Senior Data Scientist at Walmart at Walmart. He possess expertise in python, statistics, data visualization, data analysis, mathematical modeling and 22 more skills. Colleagues describe him as "Grant was responsible for developing and implementing forecasting models to predict financial metrics.Those forecasts are being used both internally and externally to present to the Spotify leads as well as investors how Spotify is doing and how much we are growing as a firm. Grant led a workstream to convert a very complicated notebook-based quarterly forecasting to a well-established pipeline that not only improves the efficiency but also improves the accuracy of forecast. Grant was also the winner of the Financial Forecasting Team’s Competition by generating the most accurate forecast in the competition. Grant led a workstream to perform automated forecasting visualization that easily and clearly visualizes over 11 thousand cohorts at various granularity. For stakeholders, this allows an increased transparency and easier feedback loop from stakeholders. Grand led a team working on Business Casing. This is extremely important as it answers the What-If questions. Causality analysis is among some of the most difficult subjects in forecasting related areas. The results are inputs into the forecasting model that tells us the excessive growth in terms of user and consumption, that later gets into the quarterly report. In addition to their forecasting skills, Grant also has a deep understanding of statistical methods and machine learning algorithms and data engineering. He set up protocols for us to benchmark our code against to improve code readability and efficiency. Grant assisted me with onboarding, what we are forecasting, how forecasting is performed, what challenges we face and what direction we are moving into, and etc. When I first joined, Grant helped me set up all the tools needed and demonstrated how to use each tool. Grant is an excellent communicator and team player who was able to collaborate effectively with cross-functional teams, including product managers, engineers, and designers. Their ability to translate complex statistical concepts into understandable insights and recommendations for the team was invaluable. I would highly recommend Grant for any position that involves data science, forecasting, and machine learning and management. Grant is an exceptional data scientist and team leader who possesses both technical expertise and strong interpersonal skills. He would be an asset to any team, and I am confident that they will excel in any role they take on." and "Grant is very passionate about Data Science and engineering. He would not shy away from diving deep into a new data science domain (e.g. causal inference), or a new tool (e.g. Ray). Grant made significant contribution to the scalable infrastructure of the product area. He promotes best engineering practices and constantly influences his teammates. It's a great pleasure to work with Grant and I'd recommend him for a Data Scientist role."