DataFramed

DataCamp
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Mar 7, 2022 • 43min

#80 The Rise of Hybrid Jobs & the Future of Data Skills

In this engaging discussion, Matt Sigelman, President of The Burning Glass Institute and a labor market analytics expert, dives into the rising trend of hybrid jobs that combine traditional roles with data skills. He explores how evolving job demands require integrating data science into various fields. Listeners learn about the importance of skill blending for career advancement and the critical role educational institutions play in preparing future professionals. Sigelman offers actionable advice on structured skill acquisition to navigate the changing job landscape.
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Feb 21, 2022 • 49min

#79 Delivering Smarter Cities & Better Public Policy w/ Data

Kaveh Vessali, a Partner at PwC Middle East, is a leader in digital transformation and data in the MENA region, with a unique background as a former U.S. diplomat. He discusses the critical role of data in shaping public policy and the intricate design of smart cities. The conversation delves into the importance of change management for successful digital transformations and addresses the ethical considerations surrounding data usage. Vessali also emphasizes the need for transparency in fostering a data-driven culture within public agencies.
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Feb 7, 2022 • 36min

#78 How Data & Culture Unlock Digital Transformation

Mai AlOwaish, Kuwait's first female Chief Data Officer at Gulf Bank, shares her insights on the pivotal role of culture in digital transformation. She emphasizes that data and people are crucial, often outweighing technology. AlOwaish discusses her innovative Data Ambassador program aimed at boosting data literacy and fostering collaboration. Additionally, she highlights the importance of diversity in tech, sharing her mission to empower women in data science and ensure inclusive environments for future leaders.
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4 snips
Jan 24, 2022 • 58min

#77 Acing the Data Science Interview

Nick Singh and Kevin Huo, co-authors of "Ace The Data Science Interview," share their expertise on navigating the data science job market. They discuss how candidates can create standout resumes that attract hiring managers by showcasing impactful projects. The duo highlights the power of cold emailing recruiters and offers strategies to help candidates ace tough interviews. They also delve into the evolving landscape of data science, emphasizing the importance of critical thinking and business acumen for future success in the field.
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Nov 29, 2021 • 53min

#76 Providing Financial Inclusion with Data Science, with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma

Vishnu V Ram, VP of Data Science and Engineering at Credit Karma, shares insights on using data science to boost financial inclusion. He discusses Credit Karma's evolution as a fintech leader and the importance of personalized recommendations for user decision-making. The conversation delves into the complexities of effective recommendation systems and the role of data leadership in improving customer value. Vishnu also highlights the challenges of project prioritization and the need for diverse skill sets in data science as the industry evolves.
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10 snips
Nov 15, 2021 • 52min

#75 The Data Storytelling Skills Data Teams Need with Andy Cotgreave, Technical Evangelist at Tableau

In this engaging conversation, Andy Cotgreave, a Technical Evangelist at Tableau and co-author of the Big Book of Dashboards, dives deep into the art of data storytelling. He emphasizes how curiosity, empathy, and technical skills blend to enhance data-driven decision-making. Andy shares valuable insights on fostering data literacy and community engagement within organizations. He also discusses the evolving role of AI in business intelligence, advocating for skilled analysts to navigate this landscape, and highlights creative narrative techniques for impactful data presentations.
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Nov 1, 2021 • 34min

#74 Harnessing the Power of Collaboration with Engineering Manager at Lucid Software, Brian Campbell

Brian Campbell, Engineering Manager at Lucid Software, specializes in data science project management and collaboration. He shares his insights on managing data projects effectively, emphasizing the importance of stakeholder alignment and clear business problem identification. Brian discusses the critical role of monitoring in machine learning operations, advocating for a multidisciplinary approach. He also highlights the need for strong relationships between data teams and business segments to enhance collaboration and decision-making.
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Oct 18, 2021 • 1h 1min

#73 Scaling AI Adoption in Financial Services with Chief Strategy Officer and Head of Financial Services at TruEra Shameek Kundu

Shameek Kundu, Chief Strategy Officer at TruEra Inc. and former Group CDO at Standard Chartered Bank, shares insights on AI adoption in financial services. He highlights the shift from defensive data management to proactive strategies that drive growth. The conversation delves into the urgent need for data literacy and the challenges of integrating AI while ensuring model integrity. Kundu also emphasizes the importance of explainability in AI systems and navigating regulatory hurdles to foster trust and responsibility in financial practices.
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Oct 4, 2021 • 52min

#72 Building High Performing Data Teams with Syafri Bahar, VP of Data Science at Gojek

Syafri Bahar, VP of Data Science at Gojek, shares his expertise in building high-performing data teams for one of Indonesia's leading super apps. He discusses key characteristics that drive effective teams, the impact of COVID-19 on data operations, and the evolving role of data science in enhancing user experiences. Syafri emphasizes the importance of data literacy, governance, and empowering team members through decentralized decision-making, while also highlighting the necessity for data scientists to hone their math and machine learning skills in an automated world.
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Sep 20, 2021 • 50min

#71 Scaling Machine Learning Adoption: A Pragmatic Approach

In this engaging conversation with Noah Gift, founder of Pragmatic AI Labs and an expert in cloud computing, he shares insights on operationalizing machine learning within organizations. He discusses the shift from theoretical to practical applications, emphasizing hands-on experience and effective communication. Noah compares data science to Brazilian jiu-jitsu, promoting a results-oriented approach. He also dives into the importance of choosing the right cloud tools and balancing specialization with generalization for future success in the evolving landscape of data science.

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