Matt Macrides

At the start of January 2026, I was promoted to Senior Data Scientist on the CRM Data Science team. I had to work at a senior level for several months before I was promoted, so the transition was seamless.

Some projects that I've completed include building two batch audit bots and Power BI dashboards to monitor the effectiveness of our generative AI solutions. I am currently working on a Potential Customer Lifetime Value model to predict the propensity and expected profit of a household to bundle a particular product with us such as home, renters, and special lines. I am also in the process of automating our customer value model from SAS to Python Prefect.

I can't wait to see what the future holds. I have had the opportunity lead a lot of exciting projects and I am looking forward for more to come.

For my final rotation in the program, I was on the CRM Data Science team. This rotation was short-lived. After a month of work, I was hired on full time as a data scientist on the team. The team is responsible for building customer facing and consultant facing solutions to help optimize the customer and consultant experience, and reduce customer defection.

In my time as an entry data scientist, I led projects at inception to modeling to deployment such as Effort Score and Loss Ratio Relativity model. I also created several generative AI and agentic AI solutions, including the chatbot summarization bot that is in production today. I also was responsible building a CRM machine learning template for the team and an LLM benchmarking template for generative AI solutions. Lastly, I was and still am the Power BI SME for the team.

I was able to grow and develop more in these 22 months than I could have imagined. I was given a lot of responsibility and autonomy from the start which helped me grow into the role quickly.

In my second rotation in the Analyst Development Program, I was on the Commercial Lines Business Intelligence team. The team is responsible for creating, migrating, and maintaining data pipelines and automated solutions to optimize the commercial lines business.

Some work I did during my time here was converted SAS files to Python Prefect that are used to generate fact and dimension tables in Snowflake, built power app and automate applications to reduce manual tasks on our team, saving around ten minutes of time each, and converted an extensive SSRS report to Power BI to improve functionality and latency.

This rotation was a great opportunity to understand how to data pipelines are built and how deploy automated solutions. I was getting closer to the data science work that I wanted to be doing and I was excited to start my next rotation on the CRM Data Science team where I would have this opportunity.

My first full time rotation in the Analyst Development Program was on the CRM Digital Insights team. The team is responsible for analyzing customer click stream data and channel interaction data. The overall goal of my work was to analyze customer behavior and provide insights to help optimize the customer experience.

Some notable projects that I worked on during this rotation include analyzing CRM Personas across several dimensions including demographics, behavior, loss ratio, and more, to help better understand how different segmentations of customers interact with Progressive. I also created an NLP program to help understand themes within intents of Progressive's customer facing Chatbot to understand how to better route users.

My first rotation went really well and I was able to strengthen my skills in SAS, Snowflake, Tableau, Power BI, and R. Despite spending most of my days querying and building visualizations, I waned to challenge myself technically. I decided at this point that I wanted to become a data scientist.