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Dan Shaw is listed as Senior Lead Data Science Consultant at Wells Fargo, a with 246787 employees, based in San Francisco, California, United States. AeroLeads shows a matched LinkedIn profile for Dan Shaw.
Dan Shaw previously worked as Analytic Consultant V at Wells Fargo and Analytic Consultant IV at Wells Fargo. Dan Shaw holds Bachelor'S Degree, Double Major: Economics And Political Science from University Of Arizona.
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I love to dig into business problems and solve them by leveraging data insights and showcase the results. I do this by combining analytic data skills with business knowledge and insight.My goal is to bring value to the organization by not just understanding the 'what', but also the 'how' and 'why'. The payoff is to be able to anticipate and answer the next question, understand downstream impacts and be able to explain why we are seeing certain results.Most recently my career has focused on analytics within the Marketing and Risk Departments at Wells Fargo Bank. A few highlites:-Developed and deployed specific credit card fraud prevention rules and models which improved fraud prevention effectiveness -Tracked, analyzed and presented product performance results to senior leadership -Managed offshore analysts on numerous projects-Created process that gathers home lending data from multiple data sources and compiled it into a monthly sales funnel; prior to this effort visibility to the home lending business was limited.I've done most of my data analysis work using Teradata SQL and SAS, as well as Excel, PPT and Tableau for visualization. Always excited to learn new tools and methodologies and apply them in order to crafting a new data insight or story.
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San Francisco, California, United States
Collaborated on a team that initiated a new marketing personalization engine for digital marketing. My responsibility in this was to develop back end data analysis, as well as development of analysis of customer eligibility for numerous campaigns by recreating customer rules in teradata SQL.
San Francisco
Developed code, reporting and analysis for all major banking products, created visualizations and presented the results at monthly senior leadership meetings. This was important for senior leadership to understand the state of the business and make decisions based on latest business intelligence. More important than dashboarding, this involved digging into the causes of trends that we found and understanding the changing banking landscape, particularly in light of a changing interest rate environment and the onset of the Covid pandemic.Additionally, I led an analytic team on a diminishment project that researched causes of customer disengagement from the bank. We developed definitions of customer dormancy and researched causes and potential solutions of declining balances.
San Francisco
Developed official online home lending reports by linking disparate data sources in SAS and Teradata SQL. Prior to this effort there was no comprehensive reporting of the home lending sales funnel. This information was used to gage the effectiveness of different sales channels. I followed this up with analysis of into business trends and presented my findings in a monthly report to senior leadership.
Created and enacted multiple strategies to combat credit card fraud. I developed a number of defenses for first party fraud (e.g where the cardholder is committing the fraud) including numerous rules around payment holds. I developed and optimized rules by developing models in SAS to prevent as much fraud as possible while minimizing impact on the 99%+ of legitimate customer payments. The rules were enacted and coordinated with our fraud team and led to a decrease in fraud as well as customer complaints.Spearheaded research into ongoing fraud trends amongst organized crime groups as well as individual perpetrators. I used these insights to develop improvements in our fraud defenses.
San Francisco
Developed SAS code to monitor effectiveness of credit card collection strategies.
San Francisco
Designed and implemented clinical trial data validation system in SAS.
San Francisco Bay Area
Forecast future aviation growth for numerous US airports. These forecasts were included in official bond issuances, including Hartsfield Atlanta's $1.3 billion bond issuance that financed a new runway.
Santa Barbara, California, United States
Taught 2 sections of macroeconomics each school term.
Other employees you can reach at wellsfargo.com. View company contacts for 246787 employees →
Kristina Legalley
Colleague at Wells FargoAustin, Texas, United States
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Hemant Dixit
Colleague at Wells FargoBabraham, England, United Kingdom
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Jim Maron
Colleague at Wells FargoMelville, New York, United States
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John Minton Iii
Colleague at Wells FargoCharlotte Metro, United States
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Katarina Cardarelli
Colleague at Wells FargoBoston, Massachusetts, United States
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Prasanta Behera
Colleague at Wells FargoCharlotte, North Carolina, United States
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Jennifer Neumann
Colleague at Wells FargoSt Louis, Missouri, United States
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Jessica Betian
Colleague at Wells FargoChandler, Arizona, United States
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Christopher Wilson
Colleague at Wells FargoCharlotte, North Carolina, United States
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Syra Gastineau
Colleague at Wells FargoPhoenix, Arizona, United States
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Quick answers generated from the profile data available on this page.
Dan Shaw works for Wells Fargo.
Dan Shaw is listed as Senior Lead Data Science Consultant at Wells Fargo.
Dan Shaw is based in San Francisco, California, United States while working with Wells Fargo.
Dan Shaw has worked for Wells Fargo, Pacific Data Designs, Leighfisher, and Uc Santa Barbara.
Dan Shaw's colleagues at Wells Fargo include Kristina Legalley, Hemant Dixit, Jim Maron, John Minton Iii, and Katarina Cardarelli.
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Dan Shaw holds Bachelor'S Degree, Double Major: Economics And Political Science from University Of Arizona.
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