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.
- πΌ Decoding Data Science Roles: A guide to the different jobs data scientists (really) do
- π Setting Healthy Boundaries: Generating Geofences at Scale with MachineΒ Learning
- π: Deploying ML Models with Flask or Voila
- π§: Tutorial Workshop on Functions in R
- π¨: New Python Data Visualization Tools: Beyond Matplotlib and Seaborn
- π: Scaling Up Deep Learning with GPU Cluster Computing
- π³: Branching Out into Isolation Forests: Tree Based Anomaly Detection
- βοΈ: Learn Airflow and Redshift for ML Uses
- π: Use Elasticsearch data storage with analytics workflows
- π: Make your data science team a well oiled machine with R
- π₯: Use animation wisely with awesome results in gganimate
- β: 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:
- π radlibs: for Python or R! (or use CRAN/pypi, it's there too)
- π₯ dask-pytorch-ddp a Saturn Cloud open source project I contribute to. Do pytorch on multi-machine clusters! (pypi)
- π€: 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