Theo Arnold-Forster
Verified Expert in Engineering
Machine Learning Developer
Theo is a full-stack data scientist with a solid academic background and four years of professional experience. While working on customer data, he became an expert in improving customer experiences, maximizing revenues, and driving marketing efforts by owning end-to-end projects. With his exceptional skills in analysis, machine learning, and data engineering, Theo enjoys working with challenging systems and strives to use the right tool for a particular job.
Portfolio
Experience
Availability
Preferred Environment
PyCharm, Jupyter Notebook, Python, SQL, Metabase, R
The most amazing...
...thing I've built is a model that was deployed in a call center, massively driving sales and helping staff beat their targets.
Work Experience
Lead Data Scientist
Muzmatch
- Built and maintained a data warehouse in Redshift, an ETL system in Python and Airflow, and a BI system in Metabase to analyze digital marketing APIs and multiple production databases.
- Ran the A/B and multivariate tests for product optimization. Developed and deployed the machine learning models to provide product personalization to millions of customers.
- Built a small and efficient data team that oversaw all data science functionalities in the company.
Data Scientist
Domestic & General
- Created a model to predict and prevent complaints from claimants, which significantly reduced the complaints. Led the end-to-end project.
- Built and maintained a model to order leads at a large-scale contact center telephone campaign that led to significant uplifts in revenue. Managed the project from the beginning to the end.
- Taught SQL and R to analysts from across the business.
Experience
Personalized Pricing Model
I built the system and led the project from conception to testing, deployment, and evaluation. Furthermore, my responsibilities involved designing a series of randomized tests to collect relevant data for modeling the relationship between price and demand and allocating the optimal expenses to maximize revenue before building the model.
We deployed the model via a batch process that preprocessed the data for modeling in Redshift and Python before sending updated prices daily to a live production application. The model was evaluated using data stored in the Redshift cluster with a BI system built in the Metabase. It resulted in several iterations of uplifts and significantly increased revenue against repeated control groups.
Skills
Paradigms
Data Science, Business Intelligence (BI), ETL
Languages
Python, R, SQL
Platforms
Jupyter Notebook, Linux
Other
Statistics, Test Design, Machine Learning, Analysis, Metabase, Data Warehousing
Tools
Apache Airflow, PyCharm
Storage
Redshift
Education
Master's Degree in Big Data and Business Analytics
IE University - Madrid, Spain
Bachelor's Degree in Biological Anthropology
University of Cambridge - Cambridge, United Kingdom
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