Crucial focus areas and pitfalls to be aware of while navigating the unknown in HR predictive analytics

Sometime back, I wouldn’t have imagined writing on topics like predictive analytics and machine learning. It all used to seem too magical, far too difficult, and nearly impossible to get anywhere close to, especially in the world of HR! This write-up aims to uncover some golden lessons, shed light in…

Evaluating Tpot & Pycaret Auto Machine Learning libraries for employee attrition prediction

How powerful is it to look into the future and predict something that is yet to happen? In Data Science, Machine Learning enables this! Ingeniously, by learning from what has happened in the past to predict what might potentially happen in the future. …

A reveal on some unknown considerations before applying this popular software tech for business process automation.

Robotic process automation’s (RPA) biggest attraction element is its advertised ease of use. The target pool for this software technology’s success are functions like HR, Finance, etc., simply because such support functions are considered not too technically savvy. Thereby making perfect candidates to trial a tool meant for anyone who…

How programming knowledge can revolutionize your contributions in people analytics & beyond

It may seem too far-fetched to suggest that you need to be a programmer to best contribute to people analytics. But trust me, I do so with reason. Recapping, there was a point in my career that involved procrastinating over picking up programming skills. But once I pushed past that…

Balancing the human & analytical expertise to become an impactful contributor

Inspiration for this article comes from a fellow data enthusiast’s comment on my previous article, suggesting how understanding “HR” is also crucial to succeed in people analytics. I reflected on that, and yes, I couldn’t agree more! If you’re someone fascinated by people analytics but holding back because of the…

For curious eyes wanting a sneak peek of what lies within

More and more companies are starting to realize the need to plunge into their employee’s data to uncover actionable insights and use that to potentially influence business strategy and decisions. Here, an employee’s data can be related to their demographic traits like gender, age, nationality, etc., or employment defined like…

Shilpa Leo

People Data Scientist | Engineer-turned-HR | Analytics & DEI Enthusiast | https://www.linkedin.com/in/shilpa-sindhe/

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