I'm a data scientist in Chicago, and you may know me from my public presentations about data science and data engineering! I love my work and I especially love sharing it with others.
If you'd like to peek at some of the presentations I've done in the past, you're in luck! They're all here.
- 💼 Decoding Data Science Roles: A guide to the different jobs data scientists (really) do
- 🌐 Setting Healthy Boundaries: Generating Geofences at Scale with Machine Learning
- 📚: Deploying ML Models with Flask or Voila
- 🔧: Tutorial Workshop on Functions in R
- 🎨: New Python Data Visualization Tools: Beyond Matplotlib and Seaborn
- 🚄: Scaling Up Deep Learning with GPU Cluster Computing
- 🌳: Branching Out into Isolation Forests: Tree Based Anomaly Detection
- ☁️: Learn Airflow and Redshift for ML Uses
- 🔀: Use Elasticsearch data storage with analytics workflows
- 🚀: Make your data science team a well oiled machine with R
- 🎥: Use animation wisely with awesome results in gganimate
- ✊: Data science can be better, sociology can help!
Make your own R packages, be awesome!- You can see my back history of talks as well if you're thinking "wait, what conference was it where I saw her do that thing?"
I also work on packages now and then - some are proprietary and belong to my workplaces, but there's some I can share:
- 😂 radlibs: for Python or R! (or use CRAN/pypi, it's there too)
- 🔥 dask-pytorch-ddp a Saturn Cloud open source project I contribute to. Do pytorch on multi-machine clusters! (pypi)
- 🤐: I am a senior machine learning engineer at DataGrail.
- I used to work at: project44, Saturn Cloud, Journera, Uptake, the University of Chicago, and DePaul University