Ryan Barton

Ryan Barton Email and Phone Number

Vice President- Quantitative Engineering @ Goldman Sachs
Dallas, TX, US
Ryan Barton's Location
Dallas, Texas, United States, United States
Ryan Barton's Contact Details

Ryan Barton personal email

About Ryan Barton

Experienced data scientist and machine learning engineer.Past domains of expertise include automotive, banking, digital advertising, and quantitative finance.Languages - Python, R, Matlab, SAS, SQL / PostgreSQL, ThinkScript, VBA ML Algorithms & Concepts - ANOVA, Bayesian Optimization, Boosting, Classification, Clustering, Dimensionality Reduction, Fine-Tuning, GPTs / LLMs, MLOps, Multi-Armed Bandits, Monte Carlo Simulations, NLP, Neural Networks, Prompt Engineering, Pytorch, Regression, Reinforcement Learning, Random Forests, Tensorflow, Time Series ForecastingTech Toolstack - Amplitude, Azure, AWS, GCP, Hubspot, Metabase, Mixpanel, Sagemaker, Snowflake, Weights & BiasesFinance Toolstack - Trading Platforms: IBKR, ThinkorSwim; Stock Scanners: TradingView, VectorVest, Investing.com, Briefing.comNaturalized U.S. Citizen- no Visa sponsorship required

Ryan Barton's Current Company Details
Goldman Sachs

Goldman Sachs

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Vice President- Quantitative Engineering
Dallas, TX, US
Ryan Barton Work Experience Details
  • Goldman Sachs
    Vice President- Quantitative Engineering
    Goldman Sachs
    Dallas, Tx, Us
  • Smart Data Solutions
    Senior Machine Learning Engineer
    Smart Data Solutions Aug 2024 - Present
    Eagan, Mn, Us
  • Evocalize
    Data Scientist / Machine Learning Engineer
    Evocalize 2022 - 2023
    Seattle, Washington, Us
    Forecasting performance of historical advertising campaigns across various channels given: historical hourly performance data; various campaign properties like budget and campaign duration; and alternative data sources like ad copy sentiment, geolocation, and historical monthly house sales data.Modeling hourly advertising campaign performance across various budget allocation strategies in order to determine optimal machine learning-based strategy. Generating backtested synthetic data to analyze through this process via Python code parallelized across multiple CPUs in the cloud. Optimizing the advertising spend of various advertising campaigns across multiple advertising channels generating a 13% expected increase in conversion rate and an 11% expected reduction in cost per lead.
  • Barnes Crossing Auto Group
    Lead Data Scientist / Analytics Officer
    Barnes Crossing Auto Group 2020 - 2022
    Automating loan underwriting to improve an auto finance company’s lending decisions. The model uses several different machine learning algorithms and Python libraries; it is trained on credit and payment history data for all past and active customers in order to minimize charge offs and maximize net profit. Automated underwriting helped save the company over $100k in bad loans in 2021.Negotiating an additional $13M line of credit with lower fees and fewer restrictions to help increase outstanding loans issued by 50% during fiscal year 2021.Managing a team of investment analysts for the family office of the owner of Barnes Crossing Auto Group (also the founder and investor of Carmigo). Research was delegated among sectors in the equity markets and tasks included reading investment newsletters, calculating NPV, and forecasting company growth rate using fundamental analysis. In addition, we offered short-term trading suggestions based on technical analysis and options market depth.
  • Carmigo.Io
    Data Scientist
    Carmigo.Io 2020 - 2022
    A/B testing different website and web app UX designs to improve conversion rate by 5% and A/B testing different paid search and paid social campaigns in order to maximize ROAS on our digital ads campaigns.Solving for a variety of metrics including: optimal buy and sell auction fees; optimal auction reserve price recommendations based on historical car price data in the Carmigo marketplace; and how changes in these fees, reserve prices, as well as website lead conversion rate affects both sell rate and revenue.
  • Wealth Beyond Wall Street
    Advisor And Producer
    Wealth Beyond Wall Street 2019 - 2020
    Selling various insurance-based financial products to businesses and individuals across the Southeast.
  • Maverick Trading
    Currency Trader
    Maverick Trading 2018 - 2020
    Salt Lake City, Ut, Us
    Developing macroeconomic outlook through researching economic reports like central bank monetary policy.Trading daily and swing positions in the currency markets utilizing fundamental and technical analysis.

Ryan Barton Skills

Microsoft Office Microsoft Excel Microsoft Word Leadership Powerpoint Customer Service Statistics Data Analysis Event Planning Research Teamwork Time Management Google Drive Python Sas Sql Rstudio Html

Ryan Barton Education Details

  • University Of California, Berkeley
    University Of California, Berkeley
    Applied Mathematics

Frequently Asked Questions about Ryan Barton

What company does Ryan Barton work for?

Ryan Barton works for Goldman Sachs

What is Ryan Barton's role at the current company?

Ryan Barton's current role is Vice President- Quantitative Engineering.

What is Ryan Barton's email address?

Ryan Barton's email address is ry****@****ter.com

What schools did Ryan Barton attend?

Ryan Barton attended University Of California, Berkeley.

What are some of Ryan Barton's interests?

Ryan Barton has interest in Social Services, Education, Environment, Science And Technology, Human Rights, Animal Welfare, Health.

What skills is Ryan Barton known for?

Ryan Barton has skills like Microsoft Office, Microsoft Excel, Microsoft Word, Leadership, Powerpoint, Customer Service, Statistics, Data Analysis, Event Planning, Research, Teamwork, Time Management.

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