Data Knowledge

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.

Talks

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.

Chart Grades Series (on LinkedIn)

In these posts, I evaluate popular charts and provide insights for elevating data storytelling. Here are a few of my recent critiques:

Articles

Explore in-depth articles and thought pieces where I break down complex data concepts and frameworks:

Preventing, diagnosing & curing bad data - Keynote

Women in Data Science Miami Conference

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.

Debiasing the
Data Lifecycle

PyTorch 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.

Building an Effective Data Strategy

Women Who Code Webinar

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.

A Window into the Future of Fitness Tech (Panel)

General Assembly Panel

Panel discussion with fitness industry veterans on the future of fitness tech.

  • What is the role of data for fitness enthusiasts?
  • How are fitness and health relevant to the discussions around racial justice?
  • How do data biases show up in fitness products, and how can they be addressed?

Growing & Leading AI Teams that Thrive

Fireside Chat at AIQCon

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.

Tech Trek Podcast - Analytics discussion

Discussion with Arash Bromand

Discussing the following topics:

  • Where is the analytics space headed? What are the best skills for analysts to learn?
  • How do you align business needs with individual growth goals?
  • How can an analyst stand out in interviews?
  • Advice for Women in Tech to succeed at work

How would Sherlock Holmes fix bad data?

Webinar for Data Umbrella

Exploring the following topics :

  • What is bad data? What is it not? How does it manifest? What are the common phases that create bad data?
  • Why should organizations care? How does it affect Data Scientist morale?
  • How do we solve bad data by thinking like Sherlock Holmes?
  • Example problem with framework and coding snippets (SQL)

Building Great Products with Effective Analytics

Talk at TechDay LA

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:

  • How to be an impactful analyst
  • How to create a framework to use to build great products
  • How to use the framework by seeing it applied in real-world situations

Thoughtful Analytics to Drive Product Success

Presentation at Level Analytics

This talk shares the powerful "Thoughtful Analyst Framework" (designed by me) that can be used by analysts to generate the maximum value.

Key Takeaways:

  • Background on how the framework was created
  • Guiding principles
  • Steps in the framework
  • Measuring success

Driving Product Adoption with Einstein at Salesforce

Presentation at Dreamforce

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.

Thoughtful Analytics: An introduction to the framework

Thoughtful Analytics: An introduction to the framework

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.

Thoughtful Analytics: Know the Product

Thoughtful Analytics: Know the Product

The Thoughtful Analytics framework has 4 pillars. The first pillar is to Know the Product.

To analyze something effectively, you need to first understand it.