
Hi. I'm Henry Loughlin.
My interests lie at the intersection of problem solving, data science, and software engineering.
My analytical journeyMy interests lie at the intersection of problem solving, data science, and software engineering.
My analytical journeyFor a long time, I thought of there being two different worlds — the 'quant' world and the 'qual' world. From a young age, I was often told that I was a 'numbers person,' but I could never maintain my interest in math or science long enough to gain true confidence in my abilities, particularly in algebra and calculus. In college, I vacillated among a number of interests, including American studies, economics, education, and politics, but looked at the 'quant' kids — studying things like business, computer science, mathematics, or hard sciences — and thought they had too much homework. My work ethic certainly developed at Brandeis, but I was not about to over-extend myself by going 'quant'.
As it was, I started my career in marketing, but quickly became interested in expanding my toolkit to include data analysis — I always found those projects the most fun. At first, I looked at Pivot Tables and conditional formatting with some trepidation, but eventually found my feet. Friends who program encouraged me to learn to code, but after a 'Hello, world' in each of Java and Python, I was not very interested. My excuse was always 'that's too much work, I'd have to read the directions.' To me, it was easier to say that I didn't have time.
Then the pandemic happened, I got laid off, and I realized that my excuse was no longer valid. I dove headlong into learning Python and, after a month or so, felt that I had found my feet after successfully scraping a Wikipedia table. Then I started to experiment with ML and realized how little I truly knew.
A lot has happened in the time since! In addition to discovering a passion for Python, I have expanded my toolkit to include data-relevant technologies like R — albeit I retain a strong preference for Python's syntax — and SQL. Moreover, I am intrigued by C, C++, Java, and JavaScript, among others, and am curious to learn more conceptually about Carbon and Rust. Whatever the direction, there are plenty of applications and domains to explore — and that's what keeps me going.
Currently Senior Predictive Analyst within the Specialty R&D division at Farmers Insurance, performing a combination of data science, machine learning, and Python programming functions.
Previous roles include Predictive Analyst II, Business Analyst, and Senior Manager, Insights & Analytics.
MPS Analytics, Applied Machine Intelligence | 2023
BA, Politics and American Studies | 2014
Python, Machine Learning, R, JavaScript, GLMs
Personal programming pursuits related to hobbies and interests.
Python program automatically updating passage of transatlantic flights through Bangor International Airport (BGR).
Source code available here. Additionally, you can check out the BGR_TATL_flights dashboard here.
Very basic utility for parsing .gpx files from Strava activities. Designed mainly for running, but could be used for alternative distance-based activities.
Source code available here.
I am always eager to connect regarding my personal and professional interests.