Photo by Mike Benna on Unsplash One of the main roles of a data engineer can be summed up as getting data from point A to point B. We often need to pull data out of one system and insert it into another. This could be for various purposes. This includes analytics, integrations, and machine learning. But in…
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Photo by Sean Pollock on Unsplash You may think of ATM workings as a revolutionary experience but since the advent of Fintech, the entire financial services domain has entered a new era. Whether you purchase a cup of coffee or manage your finances, fintech is everywhere. From payments via apps such as Payoneer or Paypal to getting reports,…
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As data science consultants. We often get asked, what is your process, define your steps, and or tell us your methodology? Unlike a company data scientist who might get stuck maintaining code. Our clients typically call us in because they want a new algorithm or machine learning system to be integrated into their website or…
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Data Science Consulting Sometimes Predicts Too Well In data science consulting, we enjoy sharing stories of success and failures. It helps us learn, and gain further insight to how to implement data science processes and policies (the hardest part of the job). One such example a data science project that went a little too…
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