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  • Cracking the Job Hunt Code: Strategies Beyond the Conventional-- with Nick Singh
    2023/07/23
    Applying for job opportunities goes beyond simply submitting applications through company websites or job boards. It involves reaching out directly to hiring managers and recruiters through cold emails or cold direct messages (DMs), presenting a personalized pitch and highlighting why you are a suitable candidate for the position. By proactively connecting with professionals on platforms like LinkedIn and requesting informational interviews, you can distinguish yourself from other applicants who rely solely on the applicant tracking system (ATS) screening process. Breaking into Google: The Power of Persistence Nick shared his experience of landing a job at Google. Despite being an intern at Microsoft in Seattle while an opportunity with Google's Nest Labs arose in San Francisco, Nick decided to RSVP to the event and not attend physically, ensuring his resume would be on file. A month later, Google contacted him, expressing interest and initiating the interview process. However, there was a period of silence, so Nick followed up with multiple emails. His persistence paid off when the recruiter scheduled his first interview. This experience taught Nick two valuable lessons: the importance of exploring alternative application channels and the significance of tenacity when advocating for oneself. It's really funny how much just caring a little bit can be a competitive advantage Common Misconceptions about Technology Interviews Some people believe that it is impossible to prepare for these interviews, assuming that anything can be asked, or that a high GPA or strong academic background is sufficient. Nick emphasizes that interviewing is a distinct skill, separate from academic performance or technical expertise. For software engineering roles, interviews often focus on data structures and algorithms, and resources like the book Cracking the Coding Interview. Data science interviews tend to be more open-ended, making preparation more challenging due to the diverse range of topics involved, which is why Nick wrote his own book Ace the Data Science Interview. Nick dispels the notion that preparation is unnecessary, highlighting the existence of common patterns, strategies, and frameworks that can be applied to tackle the most frequently asked questions in these interviews. He encourages exploring opportunities across the board without worrying about the company's size. Nick has enjoyed working in startups, experiencing roles in data product and evangelism, etc. While big companies offer attractive perks, the startup environment holds a special place in his heart, which is evident in his own venture, datalemur.com. The key to success lies in the effort put into the job and projects, along with dedicating additional time outside of work to continuous learning. Next Episode: The Transformative Power of Data and AI Join us as we explore the transformative power of data science and AI with Walter Shields, a renowned data expert, author, and educator, uncovering the history, innovations, and future implications of these fields. Get a notification for this episode The Realities of Cold Emailing Cold emailing means reaching out to individuals you don't know. Ensure that your message is relevant, friendly, and demonstrates effort. Grab attention and establish a personal connection. Highlighting shared interests or achievements, you can capture their attention and increase the chances of forming a meaningful connection. Simply stating, "I want a job," is unlikely to stand out. You gotta show that you're response worthy. Cold emails only work when you put in the work previously and you put out work, especially if you've done work in public Cold email tactics are not a guaranteed solution and won't yield positive responses every time. It's a numbers game, and rejection is common, even for someone with internships at Google and experience running a startup. However, even if the majority of people ignore your emails, if one out of ten responds positively, it can lead to significant opportunities, such as informational interviews or referrals. Cold emailing is more effective when you have a solid foundation of portfolio projects and accomplishments to showcase. Reaching out without any prior work experience or projects is unlikely to yield results. Having a public presence, such as publishing articles on Medium, sharing code on GitHub, or creating popular data visualizations, increases the chances of getting noticed and receiving a positive response. Without these accomplishments, it's best not to solely rely on cold emails as a means of securing opportunities. More of The Future in Tech The Future in Tech PageEpisode Newsletter/Show NotesEpisode GuideYouTube PlaylistPodcast Feed - Audio Only Showcasing Work Publicly and Making an Impact When sharing your work, it's crucial to ensure it is public and provides relevant information. Data analysts can make an impact by creating dashboards using tools like Tableau ...
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    38 分
  • Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields
    2023/07/11
    Exploring Dark Data and AI's Influence: A Deep Dive with Data Science Expert Walter Shields The Future in Tech-Powered by LinkedIn Learning 1,199 followers July 10, 2023 In this episode, I talked to Walter Shields, an influential data science expert and passionate teacher. Walter shares his journey in the field, the rising role of Artificial Intelligence, the concept of 'Dark Data', and the evolving landscape of technology in media. His unique insights provide listeners with an enriching perspective on the current state and future direction of data, AI, and media. Walter Shield's Journey and Teaching Passion Walter delved into his personal background (00:59) and the series of events that led him to immerse himself in the world of data and databases. As he found his feet in this new field, he discovered a strong passion for teaching and sharing his newly acquired knowledge, which manifested in a Meetup group (02:38). The surprising success of his Meetup group drew a large audience, affirming his belief in the widespread interest in data learning (07:29). "Those meetups, I got to tell you, they opened my eyes and it's a critical component to really get out in that space and meet others" He expressed his deep-seated desire to make learning about data accessible and interesting. Walter placed a strong emphasis on the qualities of a good teacher, particularly the ability to approach topics from various perspectives (14:49). As he shared his journey, he shed light on his fascination with SQL and its limitless possibilities (16:27). Next Episode Explore the transformative impact of AI and data in advertising and media as we talk with Danny Ma, Principal AI Engineer at Lumos, who shares his expertise in data science and its applications in the industry. Get a Notification AI's Impact and Data Science Evolution Walter explored the profound effect of AI on the data realm starting at 17:15. He discussed the industry's evolution from traditional data analytics to more advanced data science techniques, highlighting the importance of domain expertise (20:30). "Data science allowed us to now stop looking backward and start looking forward" Addressing the surge in data volume and its related challenges (21:41), Walter turned to the transformative potential of AI in hiring processes (23:25). He contemplated AI's capacity to eliminate biases, thereby fostering diversity in the workplace (24:58). More of The Future in Tech The Future in Tech PageEpisode Newsletter/Show NotesEpisode GuideYouTube PlaylistPodcast Feed - Audio Only The Intersection of Technology, Media, and Education The dialogue moved to the interplay of technology and media at 29:39. We reflected on how technology has revolutionized news and radio, touching on the democratization of media and the role of younger generations (31:57). " It's not what the invention is, it's what it's being used for. Who is actually using it and for what? " He pointed out that technology's impact goes beyond media consumption, creating opportunities for innovative content creation and distribution (34:06). Amid advancements, Walter emphasized the need for accountability and a comprehensive AI education (28:25). Dark Data, AI, and Data Science Walter introduced the concept of dark data, marking a new phase in data exploration (39:13). "It's like tapping into these sources that were just piled upon logs and so forth, unstructured data, to some extent, archived data, things like that." With AI's continued development, he suggested that the data science field would undergo significant transformations (44:28). Beyond data, Walter discussed AI's impact on life-changing scenarios, its reach into social media, and its role in sentiment analysis (47:49). He further highlighted AI's significance in tailoring marketing campaigns and its relevancy across diverse industries (52:11). Episode Links Importance of Data Scientists in AI eraSurvey: AI's Role in Company InterviewsPublic Perception and Fears about AIDark Data: Next Step in Data AnalyticsOverview of Walter Shields' CoursesAI's Precision in Detecting Lung Cancer Episode Index 01:00: Walter Shield's Background and Journey02:38: Falling into Data and Working with Databases04:06: Finding Passion for Teaching and Opening a Meetup Group05:22: The Value of Meetups and Making Connections06:33: Acknowledging Global Audience07:29: The Surprising Success of the Meetup Group08:55: Passion for Simplifying Data Learning09:57: The Learning and Teaching Component13:48: Importance of being a good teacher14:51: Approaching topics from different perspectives16:29: The power and creativity of SQL17:17: AI's impact on the world of data18:57: Evolution of data analytics to data science20:30: Leveraging domain expertise in data science21:41: The increasing amount of data and its challenges23:25: Integrating AI in the interview process24:58: AI's role in removing biases in hiring27:25: The importance of educating about AI29:38: The ...
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    24 分
  • The Artificial Intelligence Decision Landscape--with Cassie Kozyrkov
    2023/06/15

    The AI landscape holds vast opportunities, but making informed decisions is crucial; join me as I explore a new paradign called Decision Science with Cassie Kozyrkov, a Chief Decision Scientist guiding thousands at Google in the realms of statistics, decision-making, and machine learning.

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    29 分
  • Secrets of the Artificial Intelligence and Data Science Mind -- with Sadie St. Lawrence
    2023/06/08

    Data has been at the forefront of every breakthrough in technology, so it's no surprise that in the Age of AI, data has played a key role, helping the algorithms train and learn to think like humans. In this episode, we explore the role of data in AI with someone with a background in research, neurology and learning. Sadie St. Lawrence is the Founder and CEO of Women in Data, with a mission to increase diversity in data careers through awareness, education, and empowerment. Sadie worked in a neuroscience lab studying emotional learning and memory. She has been working in data science and AI for the past ten years. We'll explore why the AI algorithms are able to behave like humans, why they hallucinate and if it's even possible for them to reach the depths of an AGI (Artificial General Intelligence).

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    37 分
  • Emerging Roles in Data Science and Artificial Intelligence - with Christina Stathopoulos
    2023/06/01

    As AI changes the world, new roles besides developers and engineers are emerging to tackle the challenges. One of these is the role of the data translator, an analytical lead that can bridge the gap between business and technical teams. In this episode, we talked about opportunities for AI professionals who are wondering how AI is going to change their futures. We discussed the impact of AI on the future of careers in the field. We talk about the importance quality data. We touched on the issue of accuracy in AI and the development of new technologies to prevent hallucination. We also stressed the importance of understanding the right questions to ask to get good data. We discussed the need for companies to explore new areas that AI can be used to empower workers, rather than just focusing on cost reduction and cutting headcount.

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    43 分
  • How Large Scale Data and Artificial Intelligence Work - with Ado Kukic
    2023/05/25
    Artificial Intelligence requires massive amounts of data in order to work and as companies are looking to incorporate their own information to feed Large Language models, it's important to understand the role of data in this new age. In this episode, I talked to Ado Kukic. He's the Director of Developer Advocacy at DigitalOcean, one of the web's most respected cloud hosting providers. He has over a decade of programming, development, and design experience, and is a seasoned software engineer who enjoys learning new technologies and best practices. We talked about the role of data in this new age, how companies are adjusting, his experience building a platform that uses the ChatGPT API and what Digital Ocean's more than 600k customers are doing to adjust to the age of AI.
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    1 時間 3 分
  • Prompt Engineering Masters Showdown - with Jai Stone and Ronnie Sheer
    2023/05/18
    Prompt Engineering is the next great programming language and it can help you get better results with Generative AI Tools like Chat GPT and MidJourney. In this episode, we’re exploring the best ways to talk to AIs crafting compelling and effective questions. We look at the definition of prompt engineering, prompting concepts and different approaches that yield better results. We also take a look at some of the tooling and showcase some of the results from using these techniques. I invited two prompint masters to share their techniques with us. Jai Stone is a Strategist/Creator and expert on branding who has appeared in publications like Forbes, BET, Essence and the Huffington Post. Ronnie is a Senior Software Engineer at Kubiya.ai who is a Python expert and who authored a popular LinkedIn Learning course on Prompt Engineering and Generative AI.
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    56 分
  • Learning to Bridge Art with Technology - with Lila Tretikov
    2023/05/12
    Born in Moscow, Lila came to the US when she was 15 without knowing the language or the culture. She grew up torn between her passion for the arts and science, but found the perfect bridge through technology. Taking a computer science class on a dare, she discovered the potential for technology to bring the magic and wonder of art to life.
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    48 分