I am a Data & Operations Analyst with a Software Engineering background, and I focus on turning operational data into clear, decision-ready reporting. My experience combines BI development, data cleaning, dashboarding, and stakeholder communication in environments where accuracy and speed matter.
I built reporting workflows for a 315 MW renewable energy project, using SQL, Power BI, Power Query, Python, PostgreSQL, and Pentaho ETL. One of my strongest achievements was creating a workflow that helped identify and replace approximately 200 underperforming photovoltaic panels within two months.
I have worked across IT operations, commissioning support, and field coordination, which gave me a practical understanding of how data connects to real-world execution. I am comfortable working with operational records, SCADA-related inputs, quality data, and performance metrics to support analysis and troubleshooting.
My technical toolkit includes SQL, Power BI, Power Query, basic DAX, Excel, Python, pandas, Plotly, Streamlit, JavaScript, React, Next.js, Node.js, NestJS, REST APIs, MongoDB, Git, and GitHub. I also enjoy building reproducible analytics pipelines and interactive dashboards that make complex information easier to use.
In addition to my technical work, I have coordinated teams, vendors, and contractors, and I value clear communication between technical and non-technical stakeholders. I have also gained international work experience in Australia, which strengthened my adaptability, English communication, and teamwork in multicultural settings.
I am now looking for Data Analyst, BI Analyst, or Data Operations roles where I can contribute to clean data processes, reliable dashboards, and better business decisions through practical analytics.
