BBA graduate moving into data analytics — currently building fluency in Python, Pandas and SQL, with banking and operations experience behind me and a business analytics master's ahead.
I'm a BBA graduate with hands-on experience in banking operations and data support, currently retraining toward analytics work. I'm working through Python, Pandas, NumPy and SQL in a structured way — cleaning and aggregating real datasets rather than just following tutorials — because I want the fundamentals to actually hold up under a job interview.
Later this year I'm starting an MSc in Business Analytics in the UK, which is the reason for the current pace: I'd rather arrive with working technical skills than build them from zero once I'm there.
| Skill | Category | Level |
|---|---|---|
| Python | Programming | Building |
| Pandas / NumPy | Data manipulation | Comfortable |
| SQL | Data manipulation | Comfortable |
| Excel (pivots, lookups) | Data manipulation | Comfortable |
| Data cleaning & entry | Data ops | Comfortable |
| Reporting | Data ops | Comfortable |
| Jupyter Notebook / VS Code | Tooling | Building |
| MS Word / PowerPoint | Business tools | Comfortable |
End-to-end ML pipeline: EDA + model training in notebooks, a FastAPI backend serving live predictions, and a Streamlit dashboard consuming it.
Interactive dashboard breaking down pizza sales performance — revenue trends, best-selling categories, order volume and timing patterns.
Exploratory analysis of customer purchasing behaviour — segmentation, spending patterns and trends surfaced with Python and Pandas.