I am an entry-level Data Analyst with hands-on experience in data analysis, business intelligence, and applied machine learning, supported by strong experience in systems development. I specialize in transforming raw data into actionable insights through data cleaning, exploratory data analysis, and visualization using tools such as SQL, Python, R, Excel, and Power BI.I have developed interactive dashboards and reporting solutions that track key performance indicators and support data-driven decision-making. My project experience includes building predictive models using Random Forest, Gradient Boosting, and CatBoost, applied to real-world use cases such as student performance prediction, employee attrition analysis, and agricultural quality grading.During my internship, I worked with real business data to perform analysis, generate reports, and support operational decisions. I also developed internal systems including attendance tracking, payroll management, procurement, and financial monitoring systems, improving workflow efficiency and data organization across departments.With the ability to work across data pipelines, databases, and system development, I bring both analytical and technical capabilities to solve business problems. I am seeking a remote role where I can contribute to data-driven decision-making while continuing to grow in data analytics and machine learning.
