I love building coding demos and educating others around topics in AI and machine learning. This past year I've leveraged computer vision to build things like a school bus detector that I use during the school year to get my kids on the bus. I've most recently been playing with semantic video search, vector databases, and building simple chatbots using OpenAI and LangChain.
If you're looking to get the word out about your startup, I'm happy to discuss coming up with a creative use case and come up with a strategy to help evangelize your product. Feel free to slide into my DMs for my media kit.
Most of my corporate modeling projects and data science work have been in e-commerce, while working for companies whose products supported SMBs. Things like cluster analysis, retention modeling, and I’m most proud of an off-label use case of the TBATS algorithm to determine customers with a seasonal usage pattern, so that we wouldn’t assume the customer’s quiet season was a retention risk. The first 2 years of my career, as a wee data scientist, I built 100’s of econometric ARIMA models and neural net models in the Utility industry for electric and gas load forecasting.
Website: https://datamovesme.com
Email: kristen at datamovesme dot com
| Kristen Kehrer | Points |
|---|---|
| Academic | 0 |
| Author | 3 |
| Influencer | 961 |
| Speaker | 3 |
| Entrepreneur | 0 |
| Total | 967 |
Points based upon Thinkers360 patent-pending algorithm.
Building a Selection System for Doordash
Tags: Big Data
Tags: Big Data
