Data Scientist: The Experimenter & Builder
Moving into the Data Science space felt like entering a deeper, more technical world. Here’s what changed:
- I started experimenting with machine learning models using Python.
- Statistics and probability weren’t just concepts — they became tools.
- I got comfortable with model evaluation, pipelines, and feature engineering.
- I began thinking more like a product builder than just a report maker.
Key Learning: Data Scientists don’t just analyze — they predict, build, and optimize. But this also means more experimentation, errors, and complexity.