Toolkit & capability

The skills behind reporting teams can trust.

I group my skills the way work actually happens: get the data right, model and query it, visualise it for a decision, and translate the result into something a business team will act on.

Data & Querying

SQLJoinsWindow functionsData modellingData cleaningData qualityETL concepts

BI & Visualisation

Power BIDAXPower QueryTableauExcelKPI reportingDashboard design

Programming & Analytics

PythonPandasscikit-learnXGBoostStatisticsForecastingR

Capability in depth

Where I'm strong, and where I'm still growing.

Analytics & BI

I use visual analytics to make patterns easy to interpret. My retail and co-op projects show how I organise information for decision support — clear hierarchy, the right chart, and self-serve filters — not just charts on a page.

  • Dashboard layout and visual hierarchy
  • Business-friendly chart selection
  • Filtering, comparison and drill-through
  • Insight summary writing
Tableau / Power BI dashboards
Excel analysis
Data storytelling

SQL & Data Quality

Reliable reporting starts with reliable data. I focus on definitions, joins, aggregation, validation and clearly stated assumptions before any result is presented.

  • SELECT, JOIN, GROUP BY and window functions
  • Data validation and consistency checks
  • Category and field definition awareness
  • Documenting limitations before recommendations
SQL querying
Data quality checks
Data modelling

Python & Automation

Python is where I go when spreadsheets stop scaling. I've used it for cleaning, exploratory analysis and a full modelling pipeline (used-car price prediction), and I keep building repeatable workflows.

  • Data cleaning and wrangling with Pandas
  • Exploratory data analysis
  • Regression and model evaluation
  • Repeatable, re-runnable workflows
Python foundations
Data cleaning & EDA
Modelling (scikit-learn/XGBoost)

Business Translation

This is the bridge between technical work and the decision. I developed it through team projects and life beyond university, where communication, patience and adaptability decide whether analysis actually gets used.

  • Explaining analysis to non-technical audiences
  • Turning findings into recommendations
  • Listening before proposing solutions
  • Adapting communication to the stakeholder
Stakeholder communication
Commercial reasoning
Recommendation writing

At a glance

Core competencies.

BI & Reporting

Decision support through visual hierarchy, filters and business-friendly reporting in Power BI and Tableau.

SQL

Extraction, joins, aggregation, window functions and structured questioning of data.

Data Quality

Clean inputs, consistent definitions, stated assumptions and validation before decisions.

Excel

Analysis, validation, quick modelling and structured communication of outputs.

Python & ML

Pandas cleaning, EDA and regression pipelines with scikit-learn and XGBoost.

Insight Communication

Turning technical outputs into clear business recommendations and next steps.

See these skills applied.

Every capability here shows up in a real project — from retail margins to fraud detection.

View projects