Tyler Hanson
Verified Expert in Engineering
Data Scientist and Developer
Berkeley, United States
Toptal 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.
Portfolio
Experience
- SQL - 8 years
- Business Intelligence (BI) - 7 years
- Product Analytics - 7 years
- Python - 7 years
- Machine Learning - 6 years
- Predictive Analytics - 6 years
- ETL - 6 years
- Growth Strategy - 5 years
Availability
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.
Work Experience
Data Science Manager
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.
Data Analytics Manager
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.
Data Scientist
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.
Data Scientist
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.
Data Scientist
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.
Senior Research Assistant
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.
Experience
Predictive Model to Estimate Freight Shipment Transit Times
This model was developed in Python using historical shipment data and deployed as a real-time API via Amazon Sagemaker.
Education
Bachelor's Degree in Economics and Political Science
Swarthmore College - Swarthmore, PA, USA
Skills
Tools
Tableau, STATA, Amazon SageMaker, Looker
Languages
Python, SQL, Snowflake, SAS
Paradigms
Business Intelligence (BI), ETL
Frameworks
Spark, Apache Spark
Storage
Apache Hive
Other
Predictive Analytics, Data Analysis, Data Science, Data Analytics, Data Visualization, Econometrics, Statistics, Economic Analysis, Time Series Analysis, Product Analytics, Machine Learning, Data Build Tool (dbt), Growth Strategy, Forecasting, Macroeconomics
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