Piero Ferrante
where else to find them
what they talk about
all 7 in the filters
where they keep going back
- PyData NYC2 editions2022–2023
all 4 in the filters
on a stage with
- Viren Bajajonce
who talks about the same things
- Sponsor1 talk
- Naty Clementi5 talks
- Marius van Niekerk3 talks
- Ramon Perez8 talks
- Kalyan Prasad9 talks
- (unnamed presenter)4 talks
| title | conference | date |
|---|---|---|
| Low(er) Code ML Pipelines with Conduit | PyData NYC 2023 | 2023-11-01 |
Conduit is a Python package plus a terminal UI that claims to cut time-to-production by templating repos, letting teams paste notebook code into templates with… | ||
| Coldstart- A library for automatic data curation + feature engineering | PyData NYC 2022 | 2022-11-09 |
Coldstart is a Python package that automates data curation and feature engineering by running concurrent templated SQL against dialects like BigQuery via… | ||
| Should I develop my own DS library? Maybe. | PyData New York City 2019 | 2019-11-04 |
Aetna decides to build an internal library called PI Connect that wires conda setup, Jupyter, multiple back ends, and Hive/Spark defaults into a simple API; it… | ||
| Creating a Contemporary Lending Risk Management System Using Python | PyData DC 2016 | 2016-10-07 |
A complete lending risk stack built on the PyData ecosystem uses rpy2 for R forecasting and Spyre for a lightweight web UI, running millions of models nightly… | ||
| Creating a Contemporary Risk Management System Using Python | PyData Chicago 2016 | 2016-08-26 |
Claims a working underwriting and portfolio system built on the PyData stack that uses five years of nightly invoice feeds to forecast 30/60/90 day cash flows… | ||
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