I am a data analyst with over a year of experience turning data into actionable insights. I specialize in using Excel, SQL, Python, and Power BI to analyze, visualize, and communicate data effectively. I have worked on various projects, including customer segmentation, churn prediction, sales forecasting, and sentiment analysis, which helped businesses increase revenue, cut costs, and improve customer satisfaction.
One of my key projects involved creating a Power BI dashboard to analyze the sales performance of a retail company. I performed segmentation analysis to identify the most profitable customer groups and products. After presenting the dashboard to the management team, I provided actionable suggestions that led to a 15% increase in revenue and a 10% reduction in customer acquisition costs.
I hold a Bachelor of Science in Computer Science.
I am passionate about using data to solve complex problems and create value. I look forward to connecting and exploring opportunities to make an impact through data.