Big Data Talks Jan-Willem Middelburg

Welcome to Big Data Talks: Episode with Christopher Chin
Welcome to another episode of Big Data Talks, the podcast where we explore the transformative power of data, machine learning, and artificial intelligence with leading experts from around the globe. I'm Jan-Willem Middelburg, your host for today. As the author of the Enterprise Big Data Framework, I'm excited to guide you through these enlightening conversations.

Tune In Anytime
You can watch the recording of this discussion on YouTube, visit the Big Data Framework website, or listen to the podcast on Apple Podcasts. Make sure to subscribe and stay updated with our latest episodes, featuring the brightest minds in the industry.

Meet Christopher Chin: Bridging Data and Communication
In this episode, I am honored to welcome Christopher Chin, a visionary dedicated to transforming the way data professionals communicate. Christopher's diverse background in data journalism, data science, data visualization, and business intelligence uniquely positions him to address the often-overlooked soft skills necessary in the data field.

Christopher's journey began with a Bachelor's Degree in Music and Engineering from Columbia University, followed by a Master's Degree in Acoustic Engineering from Penn State University. His technical prowess, combined with a deep passion for effective communication, led him to identify a significant gap in the industry: the need for enhanced communication skills among data professionals.

To tackle this challenge, Christopher founded The Hidden Speaker, an initiative aimed at equipping data professionals with the essential soft skills required to excel in their roles. His work is revolutionizing how data insights are communicated and understood, making a substantial impact on the industry.

What to Expect in This Episode
Join us as we dive into Christopher's innovative approach to data communication, the origins of The Hidden Speaker, and his insights into the future of the data industry. We will discuss the critical role of soft skills in data professions and how improving these skills can lead to more effective data-driven decision-making.

Stay Connected
Whether you're a data enthusiast, a professional in the field, or someone intrigued by the intersection of data and communication, this episode is packed with valuable insights you won't want to miss. Remember to subscribe on YouTube, the Big Data Framework website, or Apple Podcasts to keep up with our latest episodes.

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify. 

Today I have the great pleasure to welcome Andy Cotgreave. Andy is a seasoned data expert and Senior Data Evangelist for Tableau, a Salesforce company. With over 17 years of experience in the industry, he has established himself as a prominent figure, co-authoring "The Big Book of Dashboards" and earning a spot on the 2022 dataIQ Top 100 most influential people in data. 

As a thought leader, Andy co-hosts Chart Chat, a monthly video series delving into the intricacies of data communication. He is also the driving force behind the Sweet Spot newsletter, offering curated stories that showcase the fascinating intersection of data with the world. 

Andy's passion for advancing data cultures is evident through his extensive contributions. He helps clients, media, and analysts from various industries gain valuable insights and understanding of their data. In addition, Andy is the host of If Data Could Talk and Chart Chat, both video series dedicated to exploring the realms of data culture and visualization. 

Armed with a Masters degree in geography from the University of Edinburgh, Andy has been a relentless advocate for improving data-discovery skills. Over the years, he has inspired thousands of individuals with technical advice and innovative ideas, continuously staying at the forefront of emerging trends in the industry. 

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify.

Today I have the great pleasure to welcome Angelika Klidas. Angelika is a seasoned expert navigating the realms of data and analytics. With a rich background as a former Operations Manager for diverse organizations, Angelika has earned acclaim for her strategic thinking and problem-solving prowess. Currently donning the hat of a Challenger and Advisor, she is revered as a Data Literacy Evangelist at Business Data Challengers. Through her roles as an operations manager, strategic advisor, and Data Literacy Evangelist, Angelika skilfully dissects BI & Analytics landscapes, aligns with organisational ambitions, and provides invaluable advice to propel data maturity.

But Angelika's influence extends beyond corporate landscapes. As a lecturer at the Amsterdam University of Applied Sciences, she seamlessly connects academic theories with real-world narratives. Her interactive and engaging teaching style fosters an environment where curiosity and critical thinking flourish, empowering her Data & Analytics students with practical skills and strategic insights. Angelika holds a Bachelor's degree in Business Information Technology from Amsterdam University of Applied Sciences, adding depth to her academic qualifications.

In addition to her multifaceted roles, Angelika has co-authored a book titled "Data Literacy in Practice: A Complete Guide to Data Literacy and Making Smarter Decisions with Data through Intelligent Actions." This comprehensive guide reflects her commitment to advancing the field and providing actionable insights for individuals navigating the data landscape.

Yet, Angelika's commitment transcends the classroom. Actively participating in industry conferences and workshops, she shares her expertise and learns from fellow luminaries. Widely read and appreciated, Angelika's articles and blogs on data literacy and analytics further showcase her dedication to advancing the field.

For Angelika, this commitment is more than a profession—it's a personal mission to transform individuals worldwide into data-literate professionals and strategic thinkers.

About Big Data Talks

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, the podcasting platform on Apple Podcasts and Spotify. 



Guest: Bitthal Khaitan

Today I have the great pleasure to welcome Mr. Bitthal Khaitan, Senior Cloud Engineer at CVS Health based in Dallas-Fort Worth Metroplex, USA. CVS Health, a prominent Fortune #4 healthcare solutions company in the United States. With more than 12 years of experience, Bitthal has played a pivotal role in driving cloud data-driven initiatives using a versatile technology stack encompassing Google Cloud, Teradata, Big Data, Hadoop, Spark, Scala, and Python. 

Before his tenure at CVS Health, Bitthal spent eight years at Tata Consultancy Services, Asia's largest IT company as a Data Engineer where he collaborated with Fortune 500 companies like Walmart, Cigna Healthcare, DaVita Kidney Care, and Kaiser Foundation Hospitals on critical projects involving enterprise data warehousing, big data lake development, and cloud migration. 

Bitthal holds a bachelor's degree in computer science engineering from the West Bengal University of Technology, Kolkata. He is also a member in esteemed technology organisations like IEEE and the British computer society, as well as a technology advisory board member at Packt, a UK-based technical book publishing company, demonstrates his dedication to shaping the industry's future. Welcome Bitthal. 

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platform on Apple Podcasts and Spotify.

Today I have the great pleasure to welcome Ts. Professor Dr. Angela Lee. Dr. Angela is the Associate Dean & Head of Department Computing and Information Systems in the School of Engineering and Technology, Sunway University Malaysia.

She serves on the editorial and reviewer board for several international journals such as the Journal of IT in Industry, Journal of Information and Knowledge Management Systems, Journal of Information and Management etc. She also involves in several committees and membership such as IEEE special group Big Data Technical Committee, member of the Association of Information Systems and Institute of Electrical and Electronics Engineers (IEEE), Fellow of the Higher Education Academy UK, representing Malaysia in the International Federation for Information Processing (IFIP) and was one of the founding members of SAS user group Malaysia.

Dr. Angela Lee holds the degrees of BSc (Hons) in Business Information Technology, Master of Science in E-Commerce, Postgraduate Certificate in Academic Practice, and a Ph.D. in Computing. She also completed the Wharton School of the University of Pennsylvania Business Analytics Specialization course and has gained data knowledge and analytics mindset to describe, predict, and inform business decisions using big data in the areas of IT, Marketing, Human Resources, Finance, and Operations. Welcome Dr. Angela.

About Big Data Talks

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platform on Apple Podcasts.


Guest: Dr. Poo Kuan Hoong
Today I have the great pleasure to welcome Dr Poo Kuan Hoong. Dr. Poo works as Lead Data Scientist at BAT where he applies his combination of research and industrial experience in Big Data Analytics, Data Mining, Machine Learning and Artificial Intelligence to provide innovative solutions to drive revenue growth.

With over 15 years of academic and research experience, Dr Poo is a passionate practitioner in the area of Data Science, Machine Learning and Artificial Intelligence. A graduate of Nagoya Institute of Technology (Japan), Dr. Poo holds a Doctorate degree (Ph.D.) in Computer Science, a Master of Information Technology, University Kebangsaan Malaysia (UKM), and a Bachelor of Science, University Kebangsaan Malaysia (UKM).

Besides that Dr Poo also serves as a mentor in the NASA International Space Apps Challenge, founder of the Malaysia R User Group Malaysia (MyRUG) and TensorFlow and Deep Learning Malaysia Group. Dr. Poo also provides consultancy on data strategy for companies in various sectors including finance, telecommunication and technology startups.