π Final-year Mathematics undergraduate at Universiti Teknologi Malaysia (UTM)
π Aspiring Data Analyst with interests in data analytics, business intelligence and quantitative analysis
π§ Experienced with Excel, SQL, Python and quantitative research
π± Currently expanding my skills in Power BI and data visualization
π£οΈ Languages: Malay, English
Tools: SQL β’ SQLite β’ DB Browser for SQLite
Analysed a Brazilian e-commerce dataset to explore customer behaviour, sales performance, product trends, revenue and freight costs.
Key areas explored:
- Customer and order analysis
- Revenue and monthly sales trends
- Product category performance
- Freight cost analysis
- Business insights from transactional data
Tools: Microsoft Excel β’ Data Model β’ DAX β’ PivotTables β’ PivotCharts
Built an interactive Excel dashboard to analyse sales performance, profitability, product trends, store performance and inventory health.
Key areas explored:
- Monthly revenue and profit trends
- Product category and product performance
- Store and location performance
- Inventory value and stock status
- Interactive filtering using slicers and timeline
Tools: Microsoft Excel β’ Advanced Formulas β’ Named Ranges β’ PivotTables β’ Charts
Completed an advanced coursework-based Excel dashboard analysing 46,380 call centre records to monitor operational KPIs, service targets and agent performance.
Key areas explored:
- Monthly call volume and service performance
- Complaint rates and customer satisfaction
- Call resolution and abandonment rates
- Agent performance against operational targets
- Interactive month selection and scrollable agent analysis
Tools: Microsoft Excel β’ VBA β’ Excel Macros β’ Named Ranges β’ Formulas
Completed a coursework-based Excel VBA project that automates weekly timesheet creation, daily pay calculations and weekend rates.
Key features:
- Creates a new weekly timesheet automatically
- Collects the week-commencing date using an input box
- Calculates weekday pay using a named hourly rate
- Applies a 1.5Γ rate for Saturday and Sunday
- Generates daily formulas and the weekly total
- Runs through a worksheet button or keyboard shortcut
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π₯ Bronze Award β IWP-IRC 2026
- Awarded for research on rainfall trend analysis using polynomial regression
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π First-Author Research Publication
- Published research on rainfall trends in Pahang, Malaysia
- π Interpolating Rainfall Data Trends for Pahang Area using Polynomial Regression
- First Author
- Analysed rainfall trends in Pahang, Malaysia using polynomial regression
- Compared polynomial models of degrees 1β5 using quantitative model evaluation
- Applied quantitative model evaluation to identify a suitable polynomial degree
- π Data Analytics for Organisation
Other: GNU Octave β’ DB Browser for SQLite β’ Polynomial Regression β’ Statistical Analysis