Bryan Whiting

Bryan Whiting Email and Phone Number

πŸš€ Predicting the Future | ML Engineer | DS community builder | ex-Google, Fintech, Startups | Tired dad 😴 | Yes, that's a real picture in my profile bc I love hiking. πŸ₯Ύ @ Stealth Mode
Bryan Whiting's Location
San Francisco Bay Area, United States, United States
Bryan Whiting's Contact Details

Bryan Whiting personal email

Bryan Whiting phone numbers

About Bryan Whiting

Join the DS Virtual Coffee network to meet cool data scientists every week: πŸ‘‰https://forms.gle/NtrbY2x4FA2Jz8ybA It'd be incredible to have you join and share with others!----I'm a tech enthusiast who loves solving challenging problems with data and software. I consider myself an end-to-end data scientist, with the ability to make data human.I use a suite of technical tools to extract and process raw data, build machine learning models, and deploy them in production. From developing tools that create and compare thousands of machine learning models, to developing command-line tools to automate various tasks, I thrive in creating innovative solutions to complicated data problems.My core skills include statistics, machine learning, data visualization, data processing, and communicating results. I use Python, R, Stata, Spark, SQL, and VBA and develop code in an Agile manner. I look forward to managing technical teams. Check out my GitHub and personal blog for some examples of my work.github: https://github.com/bryangwhitingsite: https://www.bryanwhiting.com

Bryan Whiting's Current Company Details
Stealth Mode

Stealth Mode

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πŸš€ Predicting the Future | ML Engineer | DS community builder | ex-Google, Fintech, Startups | Tired dad 😴 | Yes, that's a real picture in my profile bc I love hiking. πŸ₯Ύ
Bryan Whiting Work Experience Details
  • Stealth Mode
    Machine Learning Engineer
    Stealth Mode Mar 2024 - Present
    Time series forecasting of thousands of metrics across hundreds of massive companies. I work for an amazing +50bn market cap tech company with incredible people. I only don't share the name for now because I don't them spammed with my posts. DM me if you'd like a referral though...
  • Silvermine Ai
    Owner. Ai Tech Coach Empowering Small Businesses
    Silvermine Ai Sep 2023 - Present
    We empower leaders to level up their businesses with AI in strategic ways by clarifying their personal path to success.
  • Northbeam
    Data Scientist/Ml Engineer
    Northbeam Jan 2023 - Mar 2024
    San Francisco, Us
    We're a fast-growing startup helping business understand the impact of their marketing spend through multi-touch attribution (MTA) and other methods.β€’ Building a machine learning/AutoML platform to generate automated budgeting insights for our clients.β€’ Data engineering, ML engineering, etc.
  • Hopper
    Senior Data Scientist
    Hopper Feb 2022 - Dec 2022
    Montreal, Qc, Ca
    Driving growth in hotel bookings on the Hopper app.Recommenders, predictive modeling, pricing, business analytics, data quality, online experiments (A/B or split testing).
  • Youtube
    Data Scientist
    Youtube Apr 2021 - Feb 2022
    San Bruno, Ca, Us
    Improved music recommendations through online experimentation and causal inference
  • Google
    Data Scientist, Engineering
    Google Mar 2020 - Apr 2021
    Mountain View, Ca, Us
    Google Maps: Trends, metrics, and user-insights for user-generated content (photos, reviews, ratings, etc.).
  • Capital One
    Manager Data Scientist
    Capital One Jun 2018 - Mar 2020
    Mclean, Va, Us
    I focus on big data and machine learning, building credit decisioning models, and working alongside business partners to push to market data-driven analytical solutions. I am an end-to-end data scientist: I build software that queries billions of rows of data from relational databases, uses Spark to process data sets, and trains machine learning models. I build interactive dashboards to analyze and compare model iterations and monitor model performance. And I do all of that in the cloud.Tools: β€’ Languages: Python, Apache Spark (SQL, pyspark), h2o.ai, R, R Shiny (dashboard)β€’ Platforms: AWS (Redshift, S3, EMR, EC2), Databricks, Linuxβ€’ Other: git, GitHub, bash, Agile, Vimβ€’ Machine Learning: Logistic regression, gradient boosted machines (GBM), decision trees
  • Capital One
    Principle Associate Data Scientist
    Capital One Jul 2017 - Jun 2018
    Mclean, Va, Us
    β€’ Built end-to-end data engineering and machine learning pipeline (ETL). Extracted two billion rows of transactional, payment, and credit history from 17 disparate data sources and combined into a single, model-ready dataset.β€’ Built cloud infrastructure to perform distributed computing, hyperparameter tuning, and big-data machine learning models.β€’ Influenced stakeholders on business strategy using data and modeling results. β€’ Identified, introduced and developed new technologies, influencing the business and technology startegies of the team.
  • Bates White Economic Consulting
    Consultant Ii
    Bates White Economic Consulting Aug 2016 - Jul 2017
    Washington, District Of Columbia, Us
    Working alongside industry experts, I perform rigorous data analysis to provide economic damages estimates in high-stakes litigation. I help transform raw data from disparate data sources into simple insights for colleagues, partners, and clients. I work primarily in the pharmaceutical and financial industries.β€’ Developed 50+ VBA tools from scratch into an Excel Add-in that saves colleagues five hours each month.β€’ Developed a fully-responsive RShiny Web Application to visualize predictive models.β€’ Forecasted interest rates using 13,000+ dynamic forecasting OLS models in Stata.β€’ Created a reactive Excel VBA dashboard to assess performance and accuracy of regressions.
  • Bates White Economic Consulting
    Consultant
    Bates White Economic Consulting Aug 2015 - Aug 2016
    Washington, District Of Columbia, Us
    β€’ Pulled and processed financial metrics of 200+ companies and performed fixed-effects regression (S&P Capital IQ data and Stata).β€’ Investigated generic drug entry effects on brand revenues. Automated the production of a several hundred charts, and dozens of presentations using VBA, Excel, and PowerPoint.β€’ Webscraped using Python, visualized data using R, and forecasted time-series events using Matlab and Stata.
  • Brigham Young University
    Statistical Consultant (Master'S Project)
    Brigham Young University Sep 2012 - Apr 2015
    Provo, Ut, Us
    Coordinated with local bank to identify and explain customer trends.β€’ Modeled debit card overdraft behavior using actuarial, zero-adjusted, and generalized linear models.β€’ Challenged government understanding of low-income consumers.
  • Novi Security
    Co-Founder And Cfo
    Novi Security Jan 2013 - Sep 2014
    Orem, Utah, Us
    Endeavored to change how the world accesses home security. Focused on creating disruptive innovations to simplify home security without contracts, call centers, or monthly fees. β€’ Worked with cross-functional teams to transform a raw, innovative idea into a funded business.β€’ Tested product development hypotheses door-to-door with potential customers. β€’ Sold over 1200 units to 850 customers in 30 days, finishing in the top 2% of all Kickstarter projects.β€’ Analyzed 200 customer survey responses to extract insights and understand product price sensitivity.β€’ Pitched key business ideas to angel investors, VCs, and PE investors and raised a seed round investment.
  • Beneficial Financial Group
    Investment Intern
    Beneficial Financial Group May 2013 - Aug 2013
    Us
    Conducted market research on corporate debt instruments, modeled mortgage-backed securities, and presented buy-sell decisions weekly to management.β€’ Analyzed corporate financials and complex legal prospectuses to assess credit worthiness of debt investments.β€’ Used innovative techniques to assess prediction accuracy of mortgage-backed security forecasts.β€’ Applied financial theory, such as time-value of money, bonds, and structured products to the analysis of MBS tranches, waterfalls, trustee reports and modeled cash flows.β€’ Presented research, market insights, and credit reports on a weekly basis to the Chief Investment Officer.
  • Tolley Consulting Llp
    Statistical Analyst
    Tolley Consulting Llp Sep 2012 - Aug 2013
    Worked alongside Dr. H. Dennis Tolley in performing rigorous statistical analyses in matters of Medicaid pharmaceutical litigation and national defense consulting.β€’ Queried a relational healthcare database using SQL.β€’ Sampled a multi-million record database using stratified and matched-pairs sampling. β€’ Developed rapid detection methods with decision-tree algorithm for airborne bacteria using GC/MS data.
  • Deloitte
    Advisory Intern
    Deloitte Jun 2012 - Aug 2012
    Worldwide, Oo
    Financial Instrument Valuation team, the Deloitte advisory branch designated to price securities.β€’ Extracted pertinent information from original deal offering documents.β€’ Preformed pricing requests through Bloomberg Terminal.β€’ Validated vendor security information through extensive Bloomberg Terminal research.β€’ Demonstrated teamwork through effective communication and collaboration with co-workers.
  • The Church Of Jesus Christ Of Latter-Day Saints
    Missionary And Financial Specialist
    The Church Of Jesus Christ Of Latter-Day Saints Aug 2009 - Aug 2011
    Salt Lake City, Ut, Us
    β€’ Responsible for financial management and oversight of a 180-person organization.β€’ Involved in missionary service, teaching personal welfare principles and engaging in humanitarian service.β€’ Managed, instructed, and trained teams of 20 missionaries.

Bryan Whiting Skills

Data Analysis R Statistics Sas Statistical Modeling Sas Programming Data Mining Sql Bloomberg Terminal Time Series Analysis Microsoft Excel Entrepreneurship Financial Modeling Analysis Market Research Valuation Leadership

Bryan Whiting Education Details

  • Brigham Young University
    Brigham Young University
    Statistics
  • Brigham Young University
    Brigham Young University
    Statistical Science

Frequently Asked Questions about Bryan Whiting

What company does Bryan Whiting work for?

Bryan Whiting works for Stealth Mode

What is Bryan Whiting's role at the current company?

Bryan Whiting's current role is πŸš€ Predicting the Future | ML Engineer | DS community builder | ex-Google, Fintech, Startups | Tired dad 😴 | Yes, that's a real picture in my profile bc I love hiking. πŸ₯Ύ.

What is Bryan Whiting's email address?

Bryan Whiting's email address is br****@****one.com

What is Bryan Whiting's direct phone number?

Bryan Whiting's direct phone number is +120240*****

What schools did Bryan Whiting attend?

Bryan Whiting attended Brigham Young University, Brigham Young University.

What skills is Bryan Whiting known for?

Bryan Whiting has skills like Data Analysis, R, Statistics, Sas, Statistical Modeling, Sas Programming, Data Mining, Sql, Bloomberg Terminal, Time Series Analysis, Microsoft Excel, Entrepreneurship.

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