Data Scientist at Databricks
Where they came from
Common skills
How they write about themselves
Headline and About section
Key skills include product analytics, machine learning, statistical inference, data modeling, optimization, forecasting & causal inference.
I'm pursuing my Master's in Computational Data Science... eager to apply my machine learning, statistics, and data analysis knowledge to tackle complex challenges.
I've worked in startups, midsize companies, and enterprise businesses... I get a lot of joy out of working on hard problems with nice people.
(No About text provided; headline reads only 'data scientist')
How they write about their work
Experience role summaries
Created medical claims entity resolution algorithm, reducing time spent on operational process from 15 weeks of employee time to minutes.
Graph ML; Detection Explainability
I design and implement a variety of machine learning algorithms and models, including supervised learning, unsupervised learning, and deep learning models for prediction, classification, and clustering tasks.
Set up a Hadoop/Spark cluster in the cloud with a remote Jupyter Notebook interface, and used it for ETL and modeling.
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