SuperDataScience

In this episode, I talk about a very interesting concept around expectations and reality, and how the gap between the two might be affecting us. Additional materials: www.superdatascience.com/428

Syafri Bahar joins us for a great conversation about his work at GOJEK, a decacorn super app bringing services to Indonesia, and his philosophy of empowered data science teams. In this episode you will learn: • Syafri’s day job at GOJEK [11:26] • What is a super app? [14:50] • The data science department at GOJEK [19:47] • High-performance data science team [31:17] • Syafri’s career journey and love of math [39:49] • Apply to work at GOJEK [55:42] • Working for the benefit of others [1:00:21] Additional materials: www.superdatascience.com/427

In this episode, I talk about something profoundly important for me this year in shifting away from ego-driven ambition towards non-materialistic meaning in your life and work. Additional materials: www.superdatascience.com/426

Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers. In this episode you will learn: • 23 years at IBM, before and after data science [6:11] • IBM Watson and AI services [12:25] • Skills to utilize AI services [25:02] • How to achieve significant ROI on AI deployment [41:31] • What does the AI future look like to Rama? [52:41] • Ethics and the benefits of AI [1:04:37] Additional materials: www.superdatascience.com/425

In this episode, we talk about how businesses can maximize their relationship with AI to ensure visible ROI and progress of industries. Additional materials: www.superdatascience.com/424

Amanda Obidike joined us for a great discussion about her work in Nigeria and the African continent in empowering and enabling STEM education and job placement. In this episode you will learn: • Life in Lagos, Nigeria [5:22] • Amanda’s journey to data science [7:28] • Case studies and example projects [13:00] • STEM skills and the start of STEMi [19:41] • What are the issues STEMi is addressing? [24:48] • Get involved in STEMi’s mentoring project [30:12] • STEMi’s results so far [36:02] • Amanda’s best tips for landing jobs [39:04] • Work in promoting education and literacy [45:19] • The progress of STEM in Africa [47:34] Additional materials: www.superdatascience.com/423

In this episode, I talk about the difference between pain and suffering and the importance of becoming aware of it. Additional materials: www.superdatascience.com/422

Theunis Barnard joins us for a great conversation about digital twins and how data scientists can learn about the technology and get involved with its applications. In this episode you will learn: • Data science in South Africa [6:08] • Theunis’s current companies [11:32] • Industry 4.0 [13:59] • Digital twins [22:37] • Theunis’s day-to-day [38:54] • Further examples of digital twins [42:26] • Future of digital twins [48:02] • Theunis’s advice for data science newcomers [57:17] • Process digital twins vs. system digital twins [59:42] Additional materials: www.superdatascience.com/421

In this episode, we do an exercise using the wheel of life to examine your time management and understand how balanced your life currently is. Additional materials: www.superdatascience.com/420

Juval Löwy joins us for an exceptional episode that condenses much of his masterclass teachings into a powerful hour of information about the right approach to designing systems as well as projects. In this episode you will learn: • Career planning [7:24] • Consequences of designing against requirements [8:57] • The framework of a good system design [30:32] • The right approach to project design [44:00] • Juval’s book [1:02:31] • The progress and future [1:03:48] Additional materials: www.superdatascience.com/419

In this episode, I discuss a very interesting quote by Beethoven about the importance of giving space to feelings, even if that means making a mistake. Additional materials: www.superdatascience.com/418

Arthur Shectman joins us to discuss the data engineering and data product development work they do in Elephant Ventures and the importance of capturing value through data. In this episode you will learn: • What is Elephant Ventures? [8:11] • Data quality engineering [21:00] • The importance of focusing on business value [39:58] • Methodology for understanding the company’s business value [46:05] • What is data engineering? [49:28] • What is data product development [51:34] • What are the technical skills needed for these jobs? [56:02] • What is the future bringing for data science? [59:23] Additional materials: www.superdatascience.com/417

In this episode, I talk about the three key ingredients for a successful, happy career in data science. Additional materials: www.superdatascience.com/416

Asieh Ahani joins us to discuss her rapid career progress, the unique work she does at MassMutual, and how she maintains her technical skills while working in a leading position. In this episode you will learn: • Asieh’s background [5:09] • Machine learning techniques for processing biosignals [14:24] • Signal processing [22:22] • Asieh’s career and move from academia to industry [27:19] • Maintaining technical skills as a manager [41:48] • MassMutual is hiring [47:02] • Leading a remote data science team and work/life balance [49:55] • Asieh’s words for other women in data science [55:28] • Future of data science [1:00:30] Additional materials: www.superdatascience.com/415

Today I talked about the importance of understanding the balance between acting selfishly and acting with self-neglect and how the awareness of our needs and wants can help with that. Additional materials: www.superdatascience.com/414