Data Analysis
Clean, explore, and explain data.
I turn messy datasets into structured insight using Excel, SQL, Python, and Power BI.
I connect talent, data, and business thinking to help teams make clearer decisions, build better hiring systems, and turn raw information into practical insight.
I started in IT recruitment, where I learned how to work with stakeholders, identify patterns, and make fast decisions with incomplete information.
Over time, I became more interested in the data behind those decisions, which led me toward analytics, dashboards, and structured problem-solving.
Today I’m building my analytics path with Excel, Power BI, MySQL, and Python, while applying the same discipline and people-first thinking I developed in recruiting.
I turn messy datasets into structured insight using Excel, SQL, Python, and Power BI.
I help teams track funnels, sourcing, and hiring signals with practical dashboards.
I work well in hybrid roles where hiring, operations, and data all meet.
I focus on short, clear explanations that help stakeholders move faster.
Show the problem, tools used, and the insight you uncovered.
Highlight the business question, query logic, and outcome.
Focus on the dashboard design and the decision it enabled.
Open to data analyst roles, hybrid profiles across HR and analytics, and collaborations on real-world data projects.