Professional Overview
Early-career data analyst (B.Sc. Civil Engineering, IBM BI certificate) using SQL, Excel, Power BI and Python. Projects: a Power BI ER dashboard showing 35.3-minute average waits vs a 30-minute target; MySQL analysis of 2020-2026 tech layoffs; a bank term-deposit model (0.81 ROC-AUC) where the top 20% of ranked clients reach 67% of subscribers.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built and tuned a classification model in Python (pandas, scikit-learn)
- Cleaned and standardised messy data in MySQL using CTEs and window functions
- Designed a 3-page Power BI dashboard with DAX measures and a date dimension
- Published each project on GitHub with a clear, reproducible write-up
Key Achievements / KPIs
- Bank model: 0.81 ROC-AUC; top 20% of ranked clients reach 67% of subscribers
- ER dashboard: avg wait 35.3 min vs 30-min target; only 40% seen on time
- Layoffs SQL analysis (2020-2026): 2023 peak year, Amazon largest at ~58k
Education
Field of Study: Civil Engineering
Field of Study: Civil Engineering
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
