Data Science Collaboration
Overview
We delve into the dynamic world of data science and advocacy with our special guest, Megan Lieu. Megan brings a wealth of experience from her current roles at Deepnote and as an instructor at LinkedIn Learning, coupled with an impressive background in data science and strategy.
We kick off the episode exploring the critical intersection of SQL and finance, unveiling Megan's insights on how this powerful language is revolutionizing financial analytics. The conversation then shifts to a crucial aspect of modern data science - collaboration. Megan shares her expert strategies for fostering successful communication and collaboration between data advocates and data science teams. She recounts a particularly inventive project outcome that emerged from aligning data advocacy goals with technical expertise, illuminating the power of teamwork in the data realm.
The episode further delves into the trenches of data advocacy, addressing the common challenges and overcoming skepticism around data-driven decision-making. Megan discusses strategies to navigate these hurdles and emphasizes the importance of resilience in the face of setbacks.
As we look towards the future, Megan highlights exciting opportunities for data advocates in reshaping business and industry landscapes. She touches on the latest developments and strategies that are reshaping the field of data and technology, offering a glimpse into the future of data-driven innovation.
About Megan
Megan Lieu's story with data began in the classrooms of middle and high school, where the thrill of solving algebra and calculus problems first ignited her passion for numbers. This early fascination laid the groundwork for a career that would blend analytical rigor with creative storytelling.
Early Career: The Foundations in Finance
Megan's love for numbers guided her into the realm of transaction advisory and business valuations. Here, she harnessed her numerical acumen to build intricate financial models. These models were pivotal in addressing complex questions about mergers, acquisitions, and financial reporting for various companies. This period in her career wasn't just about crunching numbers; it was about making sense of them in the broader context of business and economy.
The Shift to Data Science: Numbers as Storytellers
The pivotal moment in Megan's career came with the realization that numbers do more than solve problems; they tell stories. This revelation propelled her into the world of data science. In this field, she found joy in unraveling the 'messiness' of data, transforming it into coherent, impactful narratives. It's this 'aha' feeling, the moment of clarity amidst chaos, that continues to drive her.
Current Focus: Mastering Data Tools and Techniques
Now, Megan focuses on honing her skills in programming languages like Python and R, database management, and data visualization using tools like Tableau and Power BI. Her journey in data science is far from over; she's excited about the endless learning opportunities and new challenges the field offers.
Life Beyond Data
Outside the world of data, Megan's life is equally vibrant and diverse. She is an avid writer, sharing her experiences and insights about data science. Additionally, Megan is a competitive powerlifter, a testament to her discipline and dedication. Her creative side finds an outlet in fashion blogging, while her quest for personal growth is fueled by a keen interest in self-help books.
Megan Lieu's story is one of continuous exploration and growth, both in the realm of data science and in her personal pursuits. Her journey from solving algebraic equations to storytelling through data continues to inspire and influence the field of data science.
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