A bit about me:
I’m a Data Scientist at Accenture. I’ve spent nearly four years working on the data science team within Accenture’s Research division - specializing in cutting-edge NLP approaches and statistical modeling. I graduated from Northwestern in 2020 with a double-major in journalism and statistics. I’m deeply interested in building transparent, ethical, productized NLP and ML systems.
Some things I’m into right now:
🌶️ making homemade giardiniera
🏀 creating predictive models with NBA stats (download)
🎮 trying to beat Elden Ring (update: I beat it)
📰 data journalism (here’s one I love from Mona Chalabi)
⬅️ traveling to national parks!
A bit more about me, the technical stuff:
I am experienced in developing and deploying NLP and ML techniques in Python. My experience ranges from insight generation through advanced analytics techniques like clustering and random forests to backend engineering for semantic search, chatbot systems, and retrieval-augmented generation.
To do all those things, I’ve picked up a few handy skills along the way. R was my first love. I was raised on tidyverse and ggplot2. Nowadays, I use R sparingly. Python has become my second love. I use Python, along with some combination of SQL and cloud computing modules in GCP to achieve nearly every task these days.
Not only do I express some amount of “love” for these tools, but I get particularly excited about sharing them with others. For nearly a year, I have led Accenture Research’s Datacamp program to up-skill more than 50 researchers in coding across many languages and platforms (R, Python, SQL, Power BI, etc.). I’m also actively working to keep my GitHub updated with the latest stuff I’m working on.
You have reached the bottom of my site.