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Christ Follower. Software Engineer and former Finance and Engineering Operations Data Analyst. Passionate about building products cross-functionally and solving problems in unique ways.I had a non-traditional journey to software engineering: I got my start as a Financial Advisory Consultant at Deloitte working on Anti-Money Laundering and eDiscovery projects. I joined Lyft as a Financial Data Analyst and helped them go public as the first rideshare company to do so with the tools I created in SQL and Excel for global tax filing, accounting month-end close, and audit and SEC obligations. I built the 2019 budget for Lyft's autonomous vehicle operations and assisted its acquisition by Toyota's Woven. I became a Software Engineer through Lyft's Apprenticeship program and worked on various teams in Growth, bringing riders and drivers to the platform through various incentives like coupons and points partnerships with companies like Delta Airlines. The last team I worked on, Communications Platform, was an event-based messaging platform through which all of Lyft's teams used for their communication campaigns with customers. There, I built various front- and back-end features and automated processes with Python and React. I reduced latency on my team's services and improved oncall by implementing Redis caches and adaptive concurrency. I am most proud of a project I led, Driver Content Relevance Engine (Driver CRE), which got drivers back driving without expenditure once COVID restrictions eased. I leveraged a Data Science team's machine learning algorithm that chose which of Marketing's 20+ message templates would be the most effective to send a driver in real time. Across 1M+ drivers, this led to a 1% increase in driver hours, sessions, and retention. For this Driver CRE project, I worked cross functionally with Data Science, Marketing, and various other engineering teams like Memberships and Driver Lifecycle, who owned the data the personalized messages were based on. Driver CRE is still being used today and has been extended for other use cases such as rider growth.I recently joined Netflix's MarTech team where I create tech to power more efficient and connected Marketing and Publicity workflows that spark and amplify convos fueling fandom at scale. I'm excited to grow as an individual contributor and aspire to lead teams and learn new languages and tech.
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Software EngineerNetflix Jan 2024 - PresentLos Gatos, Ca, Us -
Software EngineerLyft May 2020 - Nov 2022San Francisco, Ca, Us- Increased driver stats such as sessions (1.4%), hours (0.9%), retention (0.85%), and more by independently developing the Driver Content Relevance Engine, a program that got drivers back on the road without financially incentivizing them. Ran successful experiments on millions of drivers by working with Science to develop the machine learning algorithm this program leverages, and Marketing to create the over 20 message categories used.- Reduced latency on my team’s main service from over a minute to milliseconds, making it more reliable, preventing its timing out, and improving the on-call experience by implementing a Redis cache.Grew revenue by $56k by independently spec’ing and developing a new flavor of a rider incentive: Take-to-Get.- Optimized Points Platform by enabling easier onboarding of programs such as points earning with partners like Delta. -
Software Engineer InternLyft Jan 2020 - May 2020San Francisco, Ca, UsImplemented and spec’d Lyft’s newest rider incentive of 2020: Bundled Offers. This gave Lyft a more concrete way to validate the theory that users prefer to buy rides in bulk and unlocked coupon experimentation with various variables.
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Software Engineering ApprenticeLyft Jun 2019 - Dec 2019San Francisco, Ca, UsSaved millions of dollars by shortening the case resolution time for customer support agents from 30 minutes to two by building the front and back ends of a bulk refunding functionality.
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Autonomous Vehicle Engineering Operations AnalystLyft Aug 2018 - Jan 2019San Francisco, Ca, Us- Saved millions of dollars by building and maintaining the budget and improving reporting across Lyft’s six global sites.- Enabled executives to make hiring and product decisions and meet partnership and board meeting obligations by pulling and preparing financial and operational data and building automated dashboards, data visualizations, and decks.- Secured more funding for AV operations by successfully pitching the 2019 budget proposal I independently created and harvested and presented data and visualizations for, to the CEO, CFO and FP&A Directors.
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Financial Data AnalystLyft Jan 2018 - Aug 2018San Francisco, Ca, Us- Built infrastructure for internal and external teams for global growth and retention strategies, including ride and incentive rate setting, budget creating and revenue projecting cross-functionally.- Readied Lyft for its IPO as the first rideshare company to go public by producing and presenting ride financial data and creating queries and dashboards to automate these productions for SEC compliance and other auditors.- Shortened accounting month-end close for four GL accounts from 27 days to three days and solved and prevented millions of dollars in fiscal loss by automating reconciliation of data sets from payment providers and vendors in SQL.
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Financial AnalystLyft Apr 2016 - Dec 2017San Francisco, Ca, Us- Evolved and reconciled large data sets from Lyft’s payment providers and vendors to automate confidential revenue and ride reporting processes to ensure Lyft operates in compliance.- Cut costs by informing GeoJSON zoning and other product improvements with SQL programs I wrote.
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Ediscovery AssociateDeloitte Mar 2015 - Apr 2016Worldwide, Oo- Facilitated the legal defense of clients’ businesses by providing consultative services in electronic evidence management in Relativity 9.2 and proprietary systems.- Provided forward-looking insight into projects with models to influence staffing and other business decisions. Analyses I presented led to the successful renegotiation of a project’s master services agreement, increasing annual team revenue by $5 million.- Managed fund allocation and performed risk assessments for a portfolio of more than 50 legal matters across the US, UK, Canada, Korea and Israel for a top-10 pharmaceutical client.- Service Area: Business Risk- Competency: Governance and e-Discovery- Sub-Competency: Data Interrogation, Processing and Management -
Anti-Money Laundering Project AssociateDeloitte Aug 2014 - Feb 2015Worldwide, Oo- Ensured a major bank was in compliance with Patriot and Sarbanes-Oxley Acts by performing investigations on thousands of their high-risk individual and commercial clients.- Developed a Macro in Excel that streamlined operations and reduced human-error and costs. - Utilized World Check, LexisNexis, Oracle SAR and the bank's internal systems to conduct risk assessments on clients, reporting suspicious transactions when identified.
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Ediscovery InternDeloitte Jun 2014 - Aug 2014Worldwide, Oo- Forensically processed data from electronic devices with Cellebrite, eCapture and Nuix.- Created and maintained SQL and Excel databases of qualitative and quantitative project metrics. Applied statistical techniques to the metrics to create and present data visualizations.
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Legal ExternUnited States Attorneys' Office Jun 2013 - Dec 2013Washington, Dc, Us- Assisted Assistant U.S. Attorneys in the Criminal division.- Conducted research and prepared for over 25 cases for trial in federal court, including pre-trial motions, motions for summary judgment, memorandum of law, and jury instructions.- Analyzed evidence for trials with the use of information processing programs such as IPROSand Adobe Acrobat.- Received offer to return. -
College AmbassadorNike Sep 2012 - Dec 2012Beaverton, Or, Us- Assisted Nike marketing and product distribution teams identify, analyze, and forecast fashion trends in Los Angeles. -
Wholesale Business Administration InternHalston Aug 2012 - Dec 2012Los Angeles, Ca, Us- Scrubbed and analyzed data from over 50 national and international retailers to identify trends, produce weekly sales reports (attack strategies), and prepare delivery hindsight.- Created and maintained 2 style image archives for current and future product deliveries.- Updated performance analysis reports with weekly results from style selling reports withMicrosoft Excel.- Received offer to return.
Ryan Barner Skills
Ryan Barner Education Details
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University Of Southern CaliforniaEconomics -
Università Cattolica Del Sacro CuoreEconomics
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Hackbright AcademyComputer Science
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King/Drew Magnet High School Of Medicine And ScienceHigh School Diploma
Frequently Asked Questions about Ryan Barner
What company does Ryan Barner work for?
Ryan Barner works for Netflix
What is Ryan Barner's role at the current company?
Ryan Barner's current role is Software Engineer at Netflix.
What is Ryan Barner's email address?
Ryan Barner's email address is ry****@****aol.com
What is Ryan Barner's direct phone number?
Ryan Barner's direct phone number is 855-865*****
What schools did Ryan Barner attend?
Ryan Barner attended University Of Southern California, Università Cattolica Del Sacro Cuore, Hackbright Academy, King/drew Magnet High School Of Medicine And Science.
What are some of Ryan Barner's interests?
Ryan Barner has interest in Social Justice, Technology, Researching, Health, Teaching, Networking, Children, Volunteering, Foreign Cultures And Languages, Law.
What skills is Ryan Barner known for?
Ryan Barner has skills like Data Analysis, Microsoft Excel, Team Leadership, Sql, Project Management, Python, Quantitative Research, Spanish, Html, Translation, Css, Web Development.
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