Hi everyone,

I'm currently working on an enterprise while studying Data Science (bachelor level) with software engineering bacckground in Barcelona, and looking to grow my experience by identifying some realistic People Analytics use cases I could explore at work. I work in a large company, and while I don't have much hands-on experience yet, I'm very motivated to start contributing with small but meaningful projects.

I'm particularly interested in ideas that involve:

• Data exploration to uncover hidden patterns, like indicators of employee turnover, absenteeism, or team dynamics.

• Predictive approaches, like forecasting churn, performance, or engagement issues.

• Quick wins something that could be done with relatively accessible data and limited resources, but still offer value.

• Anything with potential for real business impact, even if small at first.

Would really appreciate any suggestions, examples, or even papers/resources that helped you when you were starting out. What I would really like to avoid is starting projects that are unrealistic / dead ends from day 1.

Thanks in advance!

Hi Jack,

Thanks so much for sharing your experience and goals - your message really resonated with me. I recently graduated with a degree in Information System Management, building on a background in Software Engineering, and I'm currently working in a system tech environment while exploring ways to contribute meaningfully through analytics.

Like you, I'm very motivated to uncover practical People Analytics use cases - whether it's detecting early signs of turnover, analyzing absenteeism trends, or improving team-level engagement insights. I'm especially drawn to quick wins that can be executed with limited data and resources but still deliver clear business value.

It would be great to exchange ideas or even collaborate on a lightweight proof of concept - aiming for real-world impact without overcomplicating things - and I'd love to stay in touch as we navigate these early steps in applying data science to the workplace.

Looking forward to connecting!

Best regards,
Vinay Reddy

Hi everyone,

I'm currently working on an enterprise while studying Data Science (bachelor level) with software engineering bacckground in Barcelona, and looking to grow my experience by identifying some realistic People Analytics use cases I could explore at work. I work in a large company, and while I don't have much hands-on experience yet, I'm very motivated to start contributing with small but meaningful projects.

I'm particularly interested in ideas that involve:

• Data exploration to uncover hidden patterns, like indicators of employee turnover, absenteeism, or team dynamics.

• Predictive approaches, like forecasting churn, performance, or engagement issues.

• Quick wins something that could be done with relatively accessible data and limited resources, but still offer value.

• Anything with potential for real business impact, even if small at first.

Would really appreciate any suggestions, examples, or even papers/resources that helped you when you were starting out. What I would really like to avoid is starting projects that are unrealistic / dead ends from day 1.

Thanks in advance!

What should be done?=)

Hi Jack,

Thanks so much for sharing your experience and goals - your message really resonated with me. I recently graduated with a degree in Information System Management, building on a background in Software Engineering, and I'm currently working in a system tech environment while exploring ways to contribute meaningfully through analytics.

Like you, I'm very motivated to uncover practical People Analytics use cases - whether it's detecting early signs of turnover, analyzing absenteeism trends, or improving team-level engagement insights. I'm especially drawn to quick wins that can be executed with limited data and resources but still deliver clear business value.

It would be great to exchange ideas or even collaborate on a lightweight proof of concept - aiming for real-world impact without overcomplicating things - and I'd love to stay in touch as we navigate these early steps in applying data science to the workplace.

Looking forward to connecting!

Best regards,
Vinay Reddy

Hi everyone,

I'm currently working on an enterprise while studying Data Science (bachelor level) with software engineering bacckground in Barcelona, and looking to grow my experience by identifying some realistic People Analytics use cases I could explore at work. I work in a large company, and while I don't have much hands-on experience yet, I'm very motivated to start contributing with small but meaningful projects.

I'm particularly interested in ideas that involve:

• Data exploration to uncover hidden patterns, like indicators of employee turnover, absenteeism, or team dynamics.

• Predictive approaches, like forecasting churn, performance, or engagement issues.

• Quick wins something that could be done with relatively accessible data and limited resources, but still offer value.

• Anything with potential for real business impact, even if small at first.

Would really appreciate any suggestions, examples, or even papers/resources that helped you when you were starting out. What I would really like to avoid is starting projects that are unrealistic / dead ends from day 1.

Thanks in advance!