Data Knowledge
Resources to Empower Your Data Science Journey
Resources to Empower Your Data Science Journey
Welcome to a curated collection of free resources designed to support and inspire data practitioners at every stage of their journey. These tools reflect my years of experience in analytics, data strategy, and team leadership. If you find these resources valuable, I encourage you to share the knowledge—amplify my posts on social media by liking, commenting, and resharing.
Below is a selection of key talks where I delve into pressing topics in data science and analytics. For a full playlist, visit my YouTube channel.
In these posts, I evaluate popular charts and provide insights for elevating data storytelling. Here are a few of my recent critiques:
Explore in-depth articles and thought pieces where I break down complex data concepts and frameworks:
Bad data has the capacity to ruin your business, and can have dire consequences for your users. Inaccuracies and biases in your data can result in costly outcomes. In this talk, I highlight the typical lifecycle of data, and the phases where bad data gets introduced. I also cover ways to fix issues.
This talk was the Keynote at the WiDS Miami 2021 conference.
Biased data, results in biased decision-making. Making sure that at every step of the data lifecycle, we make conscious attempts to debias the data is an important responsibility for all data scientists. In this talk, I highlight the typical data lifecycle, and how to prevent biases at every step.
Learn about the most common types of data biases, and prevention playbooks.
Webinar discussing the pieces that help you effectively leverage your data in support of your business, ways to support buy-in of data strategy, and how education is a critical component of success.
Panel discussion with fitness industry veterans on the future of fitness tech.
Attracting and retaining top AI talent is essential for staying competitive. This panel explores how to craft and communicate a compelling vision that aligns with the organization's evolving needs, inspiring potential hires and keeping current employees motivated.
Discussing the following topics:
Exploring the following topics :
How do companies build great products using data? This talk walks through the framework for driving product success through analytics. A quick SaaS case study is included as well.
Three Takeaways:
This talk shares the powerful "Thoughtful Analyst Framework" (designed by me) that can be used by analysts to generate the maximum value.
Key Takeaways:
My team and I spoke about our internal project at Dreamforce'18.
How did Salesforce use Einstein to rapidly build an application that helps Salesforce provide an optimal product experience to their customers and maximize adoption? The Data Intelligence (Di) team within Salesforce seamlessly merged Einstein technology and design thinking to build an application driven by a Net Adoption Score, used to inform and guide product adoption.
Data is the fuel needed to build successful products. Thoughtful analysts transform that fuel into energy by using a strong foundation of values, and mindful actions that result in effective outcomes.
This framework provides some structure for analysts looking to generate maximum value through their work.