Name: Real-life ML problem solving
Start: 2024-08-27T17:30:00+02:00
End: 2024-08-27T19:30:00+02:00
Location: Uber, Amsterdam

**You must also register [HERE](https://pages.beamery.com/uber/page/pydata-x-uber-meetup) to gain access to this event**
Join us for an exciting evening at the Uber Amsterdam office. This event will feature engaging talks from both the PyData community and Uber's data science team. It's an excellent opportunity for data enthusiasts, professionals, and researchers to network, share knowledge, and explore the latest advancements in data science, machine learning, and AI.

**Summary of the talks:**

**Payments Data Science at Uber - [Ed Lo](https://www.linkedin.com/in/edlo1/), [Claire Hempel](https://www.linkedin.com/in/clairehempel/) and [Okke van der Wal](https://www.linkedin.com/in/okkevanderwal/)**
Join us for an inside look into the world of payments at Uber led by the local leaders of our data science and machine learning teams. In this session, you'll learn how these teams transform vast amounts of information to generate insights, launch experiments and build models that support Uber's global operations.

**Exploring ESG performance in job ads through AI and Data Science - [Yu Jiang](https://www.linkedin.com/in/yujiang1989/) and [Reiner Kruisbrink](https://www.linkedin.com/in/reinier-kruisbrink-846795153/)**
Exploring ESG performance in job ads through AI and Data Science
Since 2020, we at Sia Partners have been pioneering the use of NLP to detect gender biases in Dutch job ads. Our project has evolved to include green job analysis and extend our scope to additional job boards internationally, utilizing nowadays also LLM and GenAI. In this talk, we will share the insights from our journey and the key findings from our latest whitepaper.

**Polar Expedition: Speed and Developer Experience Insights of transitioning ML pipelines to Polars - [Oliver Ford](https://www.linkedin.com/in/oliver-ford-3157229b/) and [Rik van der Vlist](https://www.linkedin.com/in/rik-van-der-vlist-124b62138/)**
We’ll show you how we reimplemented part of our use case from PySpark/Pandas to Polars and share our thoughts on the developer experience of these frameworks. We discuss the practicalities of converting existing code and pipelines, demonstrating how Polars can help shorten feedback cycles and enhance developer experience in machine learning and ETL workflows. Attendees will gain insights into setting up a productive data science environment and best practices for developers working with Polars.

**Agenda:**

**5:30PM -** Doors Open
**6:00PM -** Intro to Uber Tech Amsterdam and PyData
**6:05PM -** Payments Data Science at Uber
**6:25PM -** Exploring ESG performance in job ads through AI and Data Science
**6:45PM** \- Polar Expedition: Speed and Developer Experience Insights of transitioning ML pipelines to Polars
**7:10PM -** Q&A
**7:20PM** \- Networking including snacks and drinks
**8:00PM -** Doors Close
There is limited seating so please only attend if you have RSVP'ed via [this link](https://pages.beamery.com/uber/page/pydata-x-uber-meetup).

Dillon Gardner

PyData Amsterdam

PyData

Adyen

The NextGen

Heineken

Rabobank

Picnic

Dexter

Technology

Artificial Intelligence

Python

Hadoop

Big Data

Natural Language Processing

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

NoSQL

Data Science

Deep Learning

Apache Spark

Real-life ML problem solving

Open Source

Uber, Amsterdam

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