I am a detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. I enjoy transforming raw data into meaningful insights that help businesses make informed decisions. My expertise includes data cleaning, exploratory data analysis (EDA), data visualization, dashboard creation, and statistical analysis.
I have built projects such as an AI-powered Automated EDA platform, Customer Churn Prediction & Retention Analytics System, and SQL-based Sales Analysis, where I applied Python, Pandas, Scikit-learn, MySQL, Plotly, and Power BI to solve real-world business problems. These projects strengthened my ability to analyze complex datasets, automate workflows, and present actionable insights.
I am a quick learner with strong analytical and problem-solving skills. I pay close attention to detail, communicate effectively, and am committed to delivering accurate, high-quality work on time. I am eager to contribute my technical skills, continue learning, and help organizations make data-driven decisions that create measurable business value.
I bring strong analytical and problem-solving skills with practical experience in Python, SQL, Excel, and Power BI. I learn new tools quickly, communicate clearly, and deliver accurate work on time. Whether it's cleaning messy data, creating dashboards, automating reports, or finding business insights, I focus on producing reliable results. As a motivated fresher, I am eager to contribute, continuously improve, and provide value from day one.
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