KCWiT TechTalks | Data Science

Our expert panelists will not only share their experiences but also provide practical insights on how data is helping shape our future. Whether you’re a seasoned pro or simply curious about the field, you are sure to walk away with valuable, actionable insights and inspiration.

We expect all participants to be kind, considerate, and respectful within our community. Read our code of conduct at kansascitywomenintechnology.github.io/CodeOfConduct/. This code of conduct applies to participants of all ages, all KCWiT events and spaces, online and off, public and private.

PANELISTS

Elizabeth Christensen, Manager of Customer Success
Crunchy Data

Elizabeth Garrett Christensen is an expert in PostgreSQL and works at Crunchy Data. Elizabeth’s role at Crunchy Data is primarily in Postgres and SQL education and advocacy and she writes blogs, tutorials, documentation, and frequently speaks at developer events. Crunchy Data has products both in relational databases and recently added products in the data analytics space. She is on the board of the United States PostgreSQL Association, is an organizer for the Kansas City Postgres User Group, and co-hosts PostGIS Day, an event for open-source geospatial databases.

Lyndsay Noble, Strategic Data and Analytics Leader
Lyndsay Noble LLC

Lyndsay Noble is a strategic data and analytics leader with nearly 20 years of experience utilizing data science, machine learning, and AI to solve complex business problems. She is self-employed, providing insights and developing actionable plans to drive revenue and margin growth for businesses. Noble has a proven track record in creating data-driven solutions and organizational structures, mentoring teams, and delivering research briefs at industry conference presentations. She is adept at making complex algorithms understandable and actionable for business leaders.

Elizabeth Brown, Data Science and Machine Learning Manager
Shamrock Trading Corporation

Elizabeth Brown is a skilled Data Engineer with over two years of experience at Shamrock Trading Corporation, where she has recently been promoted to serve as the Data Science and Machine Learning Manager. Leveraging her skills in data curation, data science, machine learning, and data engineering, she has collaborated with the Strategic Analytics and Data Science teams to implement data integrations enriching business data that aligns with stakeholder objectives. Previous data roles utilized a wide array of cloud-based technologies and backend services. Her background also includes significant roles in data governance and process engineering.

Matt Copple, Co-Founder and Chief Technology Officer
Playhaus

Coming soon...

SPONSORS

Sponsor for this event

This event is sponsored by Snowflake. Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads.

Sponsors for TechTalks Series

ARRIVAL INSTRUCTIONS

WeWork Lightwell is located at 1100 Main Street on the 4th floor. Please enter through the 12th and Baltimore entrance, proceed down the hall, and to the left where you will see the building's concierge/security desk. Check-in via the iPad, then take the elevator to the 4th-floor Community Bar where our team will greet you!
There are different parking options near the venue, but we are unable to validate parking for guests. There is a parking garage under the Lightwell building. Its entrance will close around 6 PM. Any guest will be able to leave the Lightwell parking garage.

Event Venue & Nearby Stays

1100 Main St, 1100 Main Street, Kansas City, United States