Data Analyst

I am a results-driven junior Data Analyst with practical experience in data cleaning, SQL querying, exploratory data analysis, and dashboard development. I work with structured datasets to identify trends, track performance, and turn business data into clear, actionable insights.

I use Python, including pandas and NumPy, along with SQL to clean, transform, validate, and analyze data. I am comfortable building ETL-style workflows, performing statistical analysis, and optimizing queries for reliable reporting.

I have developed interactive Power BI and Tableau dashboards that monitor key business metrics such as sales, revenue, expenses, customer ratings, outlet performance, and monthly variance. My projects have involved analyzing thousands of transactions and presenting KPI-driven insights to stakeholders.

During my data analyst internships, I contributed to Excel and Power BI reporting, SQL data extraction, Python-based data transformation, and Tableau dashboard development. My work helped reduce manual reporting effort and improve dataset processing efficiency.

I am pursuing a Bachelor of Computer Applications in Artificial Intelligence and Machine Learning and continue to strengthen my analytics expertise through certifications from Microsoft, Deloitte Australia, and SmartX.io. I am focused on opportunities where I can apply data analysis and visualization skills to solve business problems.