I'm a Commerce graduate with a strong interest in data and analytics.
I have hands-on experience with Excel, SQL, Python, Tableau, and Power BI, which I use to clean, analyze, and visualize data.
I'm continuously learning and applying my skills through real-world projects, and Iโll be sharing my best work right here on GitHub.
- Languages & Querying: SQL, Python (Pandas, NumPy)
- Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Data Wrangling: Excel (Power Query, Pivot Tables), Pandas
- Other Tools: Git, Jupyter Notebook
โAnalytics isnโt just about presenting data - itโs about making it intuitive, effective, and giving people the answers they need in the shortest time.โ
- Developed interactive Excel dashboards using Power Query, Power Pivot, and DAX to analyze sales, margins, and store performance.
- Delivered actionable insights on top-performing stores, category drivers, seasonality, and manager performance, enabling data-driven decisions.
๐ View Project
- Performed exploratory data analysis using Python (Pandas, Matplotlib, Seaborn) and SQL to analyze sales trends, category performance, pricing insights, and regional patterns. - Identified seasonality peaks, top-performing products, and underperforming categories, with recommendations for pricing strategy, product focus, and regional expansion.
๐ View Project
- ๐ Google Data Analytics Professional Certificate โ Coursera
- ๐ Data Skills for Excel Professionals (CFI) โ Coursera
- ๐ Data Analysis with Python (IBM) โ Coursera
- ๐ SQL for Data Analysts - (CFI) โ Coursera
- ๐ Advanced Tableau - (CFI) โ Coursera