Data Quality & Data Storytelling Expert
Investing in data is an investment in business success. I'm the former Head of Data from Strava, where I led the Data Department and Data Guild comprising 34 Analysts, ML Engineers, and Data Engineers. As a data and analytics leader, I've brought discipline and data science rigor to companies such as Salesforce, Komodo Health, and Fitbit.
I speak in forums where there is a hunger to learn about the fundamentals of data that can help supercharge business outcomes. I am open to both virtual and in-person engagements and can travel from San Francisco.
Shailvi Wakhlu is a Technology Leader, Author, and International Keynote Speaker. She is the former Head of Data & Analytics at Strava and Komodo Health. Her sixteen-year data and engineering career has included companies such as Salesforce, Fitbit, and a software startup she co-founded. Shailvi’s data expertise comes from being a practitioner at tech startups and large companies across three continents.
Wakhlu speaks on data and self-advocacy at twenty-five or more global conferences and Fortune 500 corporate events each year. She also teaches online courses on these subjects to a global audience.
Wakhlu offers individual and group coaching. She has helped hundreds of aspiring and current data scientists grow their skills and reach important career milestones faster. She is also an investor and consultant/advisor to several high-growth startups in the data space.
Wakhlu grew up in India and studied Computer Engineering at Illinois Tech in Chicago. She loves to travel and has visited thirty-three countries. She lives in San Francisco with her husband and their sixty plants.
Back to topUncover the secrets to harnessing quality data for amplifying business success. This talk equips you with invaluable strategies and proven frameworks to navigate the data lifecycle confidently. Learn to spot and eradicate low-quality data, fortify decision-making, and build trust with data. With streamlined prevention strategies and hands-on diagnostics, optimize efficiency and elevate your company's data-driven initiatives.
Businesses use data to make good decisions, that can help supercharge positive outcomes. If the data they use to make those decisions are of low quality, there is a high chance that the results will be low quality as well. Inaccuracies and biases in your data can result in costly mistakes. In this talk, I highlight how business leaders and data partners can work effectively with data teams to prioritize good data quality.
Successful products are built on good decisions. Effective decision-making requires the right ingredients of data, visualization, and a compelling narrative. This talk introduces each of those components and highlights the nuances of using them to get the right outcomes for business success. You will learn to drive change through an organization with impactful data storytelling.
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 intentionally prevent biases at every step.
Businesses that invest in an intentional data strategy do better than the ones that don't. A good data strategy ensures that your organization is using all its data assets most effectively. This talk walks through the what, why, how, who, and when of a data strategy.
Successful products are built based on good data analytics. Great analysts thus know the importance of being disciplined about how to leverage data for building a product. Aligning the data capabilities with the product roadmap and using it to improve the product’s maturity is where thoughtful analytics come into play. This talk unravels a robust four-step framework to generate the maximum value for your business using analytics.
Products are successful when there is clear alignment on the goals and an execution strategy that enables a clear roadmap. This talk walks through the framework of measuring success and building alignment for your product roadmap so that you build the most valuable products.
V2MOM is a strategic planning and goal-setting framework that stands for Vision, Value, Methods, Obstacles, and Measures. The framework was popularised by Salesforce. This talk explains the benefits and execution plan for establishing a V2MOM planning process in your company.
I've had the privilege of working with some amazing organizations. Click here for an extended list of prior speaking engagements.
"Thanks for your awesome talk yesterday for LATech4Good's Ethics in Data workshop. I learnt a lot and thanks for sharing the framework too."
"I really found your speech insightful and I’do really like your approach."
"I appreciate your resources and the direct actions instead of just providing hypothetical solutions."
The following resources supplement my speaking sessions.
I work with Seed-stage and Series A companies that are hungry to invest early in their data processes, assets, teams, and tooling. My services include doing technical audits, setting the data strategy, aligning the C-suite on data investments, and coaching your junior data staff.
The course is best for those who prefer learning in a small group setting with peers, with hands-on exercises. The course supplements my talks with more depth.
The most personalized way you can get guidance on your data career is to set up 1:1 coaching sessions with me. Coaching is customized to your situation, specific goals, and your challenges. My recommendation is to start with one session to explore a mutual fit. I have coached ~500 students/mentees over the years.
Over the last seven years, I have created a lot of free content on data. Check out my videos and articles that
are accessible in the public domain.
Additionally, you can follow me on
LinkedIn
to get notified of my latest posts on data.