Tyler Hanson, Data Scientist and Developer in Berkeley, United States
Tyler Hanson

Data Scientist and Developer in Berkeley, United States

Member since May 25, 2022
Tyler is a full-stack data scientist with a broad range of experience leading end-to-end data analysis and machine learning projects. These projects span a variety of industries, including eCommerce, supply chain, and SaaS. Tyler enjoys learning about new industries and building simple and effective solutions to business problems using data, whether business intelligence, descriptive analysis, or machine learning.
Tyler is now available for hire

Portfolio

  • Loom
    Python, DBT, SQL, Snowflake, Predictive Analytics, Machine Learning...
  • Flexport
    SQL, Looker, DBT, ETL, Data Analytics, Data Analysis, Data Visualization
  • Flexport
    Python, SQL, DBT, ETL, Amazon SageMaker, Machine Learning...

Experience

Location

Berkeley, United States

Availability

Part-time

Preferred Environment

Python, SQL

The most amazing...

...product I've developed is an automated bidding algorithm for Google Shopping Ads. This allowed my company to scale and improve the efficiency of its paid ads.

Employment

  • Data Science Manager

    2021 - 2022
    Loom
    • Established growth analytics team supporting marketing, sales, customer success, customer support, and finance teams.
    • Conducted analysis to understand and communicate the drivers of business growth.
    • Built dashboards and predictive models for marketing attribution, customer LTV, user retention, revenue forecasting, and subscription churn.
    Technologies: Python, DBT, SQL, Snowflake, Predictive Analytics, Machine Learning, Business Intelligence (BI), Growth Strategy, Data Science, Forecasting, Data Analytics, Tableau, Data Analysis, Data Visualization
  • Data Analytics Manager

    2020 - 2021
    Flexport
    • Managed a team of 4-7 data analysts supporting a variety of business units.
    • Coached analysts on applying statistical methods, programming in SQL and Python and interacting with business stakeholders.
    • Collaborated with business leaders to develop and execute analytical roadmaps.
    Technologies: SQL, Looker, DBT, ETL, Data Analytics, Data Analysis, Data Visualization
  • Data Scientist

    2019 - 2020
    Flexport
    • Led data science efforts to improve shipment on-time performance by developing and deploying a machine learning model to predict shipment transit times, analyzing data, and making recommendations for operational changes.
    • Worked closely with engineering, business, and supply chain operations teams to implement new features related to transit times.
    • Built API integrations to ingest data from third parties for KPI tracking and predictive modeling.
    Technologies: Python, SQL, DBT, ETL, Amazon SageMaker, Machine Learning, Predictive Analytics, Data Science, Forecasting, Data Analytics, Data Analysis, Data Visualization
  • Data Scientist

    2016 - 2019
    Reverb
    • Developed key company dashboards and business intelligence strategies from scratch.
    • Managed a team of analysts supporting the business intelligence and analytics needs of the entire company.
    • Developed and implemented an automated, algorithmic approach for managing ad campaigns on Google Shopping.
    • Developed and implemented machine learning models for product classification and product recommendations.
    Technologies: Python, Spark, Predictive Analytics, Product Analytics, Business Intelligence (BI), SQL, ETL, Machine Learning, Data Science, Forecasting, Data Analytics, Data Analysis, Data Visualization
  • Data Scientist

    2015 - 2015
    Hopper
    • Conducted product-oriented analysis to improve application features and explore new product ideas.
    • Produced original research content, including an aggregate forecast of flight prices.
    • Analyzed trillions of flight prices to understand and communicate trends in consumer travel behavior.
    Technologies: Python, Apache Spark, Apache Hive, Predictive Analytics, Data Science, Forecasting, Data Analytics, Data Analysis, Data Visualization
  • Senior Research Assistant

    2013 - 2015
    Federal Reserve System
    • Assisted staff economists with preparing the board's macroeconomic forecast and commentary.
    • Maintained and enhanced the board's production forecasting models.
    • Assisted staff economists with academic research projects.
    Technologies: SAS, STATA, Statistics, Time Series Analysis, Macroeconomics, Forecasting, Data Analytics, Data Analysis, Data Visualization

Experience

  • Predictive Model to Estimate Freight Shipment Transit Times

    I developed and implemented a machine learning model to predict the time it would take for a freight shipment to transit from origin to destination, including the time spent on specific portions of the journey.

    This model was developed in Python using historical shipment data and deployed as a real-time API via Amazon Sagemaker.

Skills

  • Languages

    Python, SQL, Snowflake, SAS
  • Paradigms

    Business Intelligence (BI), Data Science, ETL
  • Other

    Predictive Analytics, Data Analysis, Data Analytics, Data Visualization, Econometrics, Statistics, Economic Analysis, Time Series Analysis, Product Analytics, Machine Learning, DBT, Growth Strategy, Forecasting, Macroeconomics
  • Frameworks

    Spark, Apache Spark
  • Tools

    Tableau, STATA, Amazon SageMaker, Looker
  • Storage

    Apache Hive

Education

  • Bachelor's Degree in Economics and Political Science
    2009 - 2013
    Swarthmore College - Swarthmore, PA, USA

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