DataTalks.Club

We talked about: Maria’s background Deciding to go into telecare (healthcare) Current difficulties in healthcare Getting into the healthcare industry as a lifestyle brand The importance of a plan B and being flexible What is SQIN and the importance of communication Going from lipstick to skin health analysis The importance of community and broadening your audience The importance of feedback and communicating benefits The current state and growth of SQIN Convincing investors and the importance of proving profitability Maria’s role at SQIN Balancing a newborn child and a new company Links: Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

We talked about: Christoph’s background Kaggle and other competitions How Christoph became interested in interpretable machine learning Interpretability vs Accuracy Christoph’s current competition engagement How Christoph chooses topics for books Why Christoph started the writing journey with a book Self-publishing vs via a publisher Christoph’s other books What is conformal prediction? Christoph’s book on SHAP Explainable AI vs Interpretable AI Working alone vs with other people Christoph’s other engagements and how to stay hands-on Keeping a logbook Does one have to be an expert on the topic to write a book about it? Writing in the open and other feedback gathering methods Advice for those who want to be technical writers Self-publishing tools Finding Christoph online Links: LinkedIn: https://www.linkedin.com/in/christoph-molnar/ Website: https://christophmolnar.com/ Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

We talked about: Jack’s background Transitioning from IC to management Lesson not taught in traditional school The importance of people’s perception, trust, and respect How soft skills are relevant to machine learning How to put on a salesman hat in machine learning management The importance of visuals and building a POC as fast as possible 1st Rule of Machine Learning – don’t be afraid to start without machine learning The importance of understanding the reality that data represents The importance of putting yourself in the shoes of customers The importance of software engineering skills in machine learning Where to find Jack’s content Jack’s next venture Links: Jack's LinkedIn profile: https://www.linkedin.com/in/jackblandin/ Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Links: Mini sound bath: https://www.youtube.com/watch?v=g-lDrcSqcrQ Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

We talked about: Lera’s background Lera’s move from Ukraine to Germany The transition from Marketing to Product Ownership The importance of communication and one-on-ones The role of Product Owner Utilizing Scrum as a Product Owner Building teams and cross-functionality Lera’s experience learning about search The importance of having both technical knowledge and business context Open developer positions at AUTODOC What experience Lera came to AUTODOC with How marketing skills helped Lera in her current role Lera’s resource recommendations Everything is possible Links: Post: https://www.linkedin.com/posts/leracaiman_elasticsearch-ecommerce-activity-7106615081588674560-5WQO Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Ioannis Mesionis, an expert in collaborative data science in business, discusses topics such as collaborating with business stakeholders, optimizing digital marketing, agile project management in data science, and finding time for hands-on work in data science.

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html

Angela Ramirez, a data engineer with experience in fraud prevention, talks about her career journey, the usefulness of knowing ML as a data engineer, best practices for system design and data engineering, working with different types of databases including document and network-based databases, and selecting the appropriate database type to work with. She also discusses the importance of software engineering knowledge in data engineering, data quality check tooling, debugging failed jobs, and working with external data sources.

We talked about: Loïc's background Data management Loïc's transition to data engineer Challenges in the transition to data engineering What is a data architect? The output of a data architect's work Establishing metrics and dimensions The importance of communication Setting up best practices for the team Staying relevant and tech-watching Setting up specifications for a pipeline Be agile, create a POC, iterate ASAP, and build reusable templates Reaching out to Loïc for questions Links: Loiic LinkedIn: https://www.linkedin.com/in/loicmagnien/ Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html