Technical skill showcase

My technical skills support reporting, data quality and business decision-making.

This page gives technical skills clear visibility while keeping the role focus practical: tools are valuable when they support reliable decisions and clear recommendations.

Analytics & BI

I use visual analytics to make patterns easier to interpret. My project dashboard shows how I organise information for decision support, not just display charts.

  • Dashboard layout and visual hierarchy
  • Business-friendly chart selection
  • Filtering and comparison thinking
  • Insight summary writing
Power BI / dashboard thinking
Excel analysis
Data storytelling

SQL & Data Quality

I am strengthening SQL and data quality thinking because the target role depends on reliable data. I focus on definitions, joins, aggregation, validation and assumptions before presenting results.

  • SELECT, JOIN, GROUP BY and filtering logic
  • Data validation and consistency checks
  • Category and field definition awareness
  • Documenting limitations before recommendations
SQL querying
Data quality checks
Reporting structures

Python & Automation

Python is a developing skill area. I see it as useful for cleaning, exploration and repeatable workflows when analysis needs to be more scalable than manual spreadsheet work.

  • Data cleaning foundations
  • Basic exploratory analysis
  • Repeatable workflow mindset
  • Further development planned through projects
Python foundations
Data cleaning logic
Problem solving

Business Translation

This is the bridge between technical work and the job role. I developed this through project team collaboration and personal life experience beyond university, where communication, patience and adaptability matter in real situations.

  • 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

Power BI / Reporting

Decision support through visual hierarchy, filters and business-friendly reporting design.

SQL

Extraction, joins, aggregation and structured questioning of data.

Data Quality

Clean inputs, consistent definitions, assumptions and validation before decision-making.

Excel

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

Python

Developing capability for cleaning, exploration and repeatable workflows.

Insight Communication

Turning technical outputs into clear business recommendations and next steps.