Hi everyone,

I’m currently an undergraduate student in Data Science, actively working toward becoming a data scientist. So far, I’ve built a foundation with basic machine learning models using libraries like Pandas, NumPy, Matplotlib, Scikit-learn, and some PyTorch. I’ve also explored LLMs by working with pre-trained models through Hugging Face and LangChain. Lately, I’ve been diving into more advanced ML and deep learning concepts, setting up CI/CD pipelines, and learning backend development for ML using FastAPI and Flask.

Despite experimenting with this wide range of tools and technologies, I still find myself unclear about what companies actually expect from data scientists—both at junior and senior levels. What tech stack should I focus on? Which trends and skills are truly valued in the industry?

As a student, it’s hard to get a clear answer on this. Could someone with experience in the field help clarify what companies are really looking for in data scientists today?

Thanks in advance!

What is a completely new functionality you want to see added to Power BI, that would unlock new possibilities? things like- Field Parameters, Calculation Groups, Fx attributes, DAX query view.

I don’t mean new visuals but a brand new way of doing things like the before mentioned features.

Lets say:

Ability to use Calculation Groups/Items anywhere you place a Measure. This would greatly decrease the number of measures that you need to create in your model. LY, YTD, YOY and other measure variants would be accessible for display using this dialog options. This would work in Cards, Reference labels, Data labels, Tooltips, as a single new column to Table/Matrix – just anywhere you put a measure.

What do you think? I actually believe this could be quite feasible, since the implicit column aggregate measures are basically calculation items.