Data Science Interviews

Sandeep Khuperkar, Founder and CEO at Data Science Wizards — Transforming Enterprise Architecture, A Journey Through AI, Open Source, and Social Impact

In this interview, we feature Sandeep Khuperkar, the CEO of Data Science Wizards, as he shares his journey and insights on leveraging AI and open-source technologies to reshape enterprise architecture. From pivotal career moments to harnessing AI for social good, Sandeep discusses the challenges and opportunities businesses face in the digital age. Dive into our […]

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David Smooke Founder & CEO at HackerNoon — Digital Publishing Evolution, AI Impact, Content Management Innovation, Community Growth, Future Visions

In this interview with David Smooke, founder of HackerNoon, he shares insights on the platform’s genesis aimed at overcoming content management hurdles at SmartRecruiters, evolving into a premier destination for tech narratives. He details HackerNoon’s commitment to an open-access model, supported by unique revenue approaches and the transformative impact of AI on publishing. Smooke underscores

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Jarrod Teo, Data Science Leader — Building AI Products, Data Acquisition Strategies, AI and LLMs in Commerce, Business Integration of Data Science, Skills for Modern Data Scientists, Evolving ML Strategies Amid Economic Uncertainties

In this interview, I had the pleasure to converse with Jarrod Teo, a seasoned consultant data science leader, to delve into the intersection of data science and business strategy. Jarrod shares insights from his journey developing AI tools that propel business valuations, tackle data acquisition hurdles, and harness the power of large language models in

Jarrod Teo, Data Science Leader — Building AI Products, Data Acquisition Strategies, AI and LLMs in Commerce, Business Integration of Data Science, Skills for Modern Data Scientists, Evolving ML Strategies Amid Economic Uncertainties Read More »

Solve Real-World Challenges and Ace Your Data Science Career – Interview with Davis David

We thank Davis David from Dlab, for taking part in the Data Science Interview Series. Davis is a software engineer with a background in Computer Science, and a skilled data scientist with expertise in Natural Language Processing. In this interview, he shares his data science journey and lessons from his experience, including: Academic Background Bala:

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Janet Comenos on How Predictive Analytics Creates New Insurance Products Previously Deemed as Uninsurable

How did you become involved with Predictive Analytics in the Insurance Industry? My co-founder and I wanted to bring our tech and analytics experience to the MGA space to create a new type of MGA that uses analytics to develop and distribute insurance products that seem ” uninsurable ” in the traditional insurance market, seem

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