Alldus International covers your business consulting, staffing and networking needs across the United States and Europe. Alldus can help you discover how Data Science and AI can transform your company with an unrivalled network of C-Suite executives and Senior AI Professionals.
Become a member of the Alldus community and enjoy and enjoy our AI Meetups. Once a month our community gathers to hear from some of the leading experts in the world of Data Science and AI. Our speakers come from all over the world including Dublin, New York and Berlin.
We also have the AI Mentors podcast where our experts will provide mentoring to Alldus members and of course, the AI in Action podcast where each week we have guests from all over the world talking us through their education, career and more.
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While you may love your job and work with great people, you will inevitably encounter conflict with a colleague. Here are four common questions which hiring managers typically ask in order to assess your skills in conflict resolutions.
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From a career standpoint, the roles of analyst and data scientist are more complementary rather than one position being at a higher level than the other. If you're a data analyst who wants to make the move to data science, we suggest these top tips to help you successfully make that switch.
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Increased investment in digital transformation projects has given rise to a highly competitive ServiceNow contracting market. Leveraging our network of experts we've put together this list of 5 tips to consider when looking for landing your next role in the gig economy.
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Danish Rafique, Head of Digitalization and Analytics at Bayer joins host Mark Kelly on the AI Mentors podcast to discuss key advice on making the move from academia into industry, why data science in healthcare, the importance of decision-making and ethics, interesting projects at Bayer & much more
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Namish Parikh, Founder and CEO at Maiven joins host Mark Kelly on the AI Mentors podcast to discuss the importance of understanding the business side of AI, interesting applications he is seeing within AI in Healthcare, the importance of the product management teams & the commercialization of AI
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Our top tips for writing a data scientist resume that will get you noticed. From the skills matrix to the personal statement this guide will help you land your next role in a competitive marketplace.
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The interview process can be lengthy and cover a vast array of topics for making it difficult to know exactly what will come up at the interview stage. At Alldus, we have worked a significant number of Machine Learning vacancies over the years and collated a lot of interview feedback along the way.
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The job application process can be extremely stressful and lengthy. You’ve tailored your resume, gone through several rounds of interview and waited what seems like an eternity for feedback. Despite intense competition the job is yours! The hard work is over…Well not exactly.
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Patrice Chaperon, Product Analytics Manager at Doctolib joins host Mark Kelly on the AI Mentors podcast to chat about Doctolib’s work within the Healthcare sector, structuring the Data Analytics and Data Science teams, why do data science projects fail, what the future of eHealth looks like & more
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The need for Data Science candidates is growing and this trend isn’t going to change any time soon. However, the interview process can still be a major hurdle for even the most experienced of candidates. We have put together some simple, easy tips that will help you land that dream Data Science job.
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Michael Schrapp, Program Lead for Smart Fleet at Siemens Healthineers joins host Mark Kelly on the AI Mentors podcast to discuss Transitioning from academia into industry, pros and cons working with healthcare data, how to add business value with Data Science & Analytics, interesting projects & more
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Sanji Fernando, SVP of AI and Analytics Platforms at Optum joins host Mark Kelly on the AI Mentors podcast to discuss how they get the data fit for purpose, understanding the real problems they need to solve, challenges of working within healthcare data, bringing ML models into production and more
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