I’m a junior data analyst with a background in Physics and experience analyzing real–world datasets to support business–focused decision–making.
In my previous role as a loan officer, I regularly analyzed financial statements to assess credit risk and understand why a company’s performance improved or declined.
Through this experience, I found it rewarding to identify patterns in data and explain business outcomes based on evidence.
I later developed data analytics skills using Python, SQL, and Looker Studio to turn raw data into actionable insights. I demonstrated these skills by building a food delivery data analysis project, where I identified key drivers of delivery performance and visualized insights through an interactive dashboard.
I have built these core analysis skills through focused, hands-on projects and am comfortable learning new tools to better support stakeholder decision-making.
I’ve also worked on multiple datasets such as retail, credit risk, and food delivery rather than a single industry.
This helped me focus on understanding the business context, not just the industry itself.
I’m comfortable working with new domains because my focus is always on understanding the decisions the data supports.
I would be happy to explain my background and projects in more detail.
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