Certified Data Analyst skilled in SQL, Python, Tableau, Power BI, and Excel. Experienced in data cleaning, visualization, and predictive modeling through personal projects. Certified by IBM and eager to apply my skills to real-world business challenges..
Cleaned and analyzed telecom customer data to identify churn patterns. Key findings showed higher churn among month-to-month contract users and electronic payment users. Delivered insights through visualizations and a well-documented Jupyter Notebook..
Sales Performance Dashboard using Power BI to track sales, profit, and orders from the Superstore dataset with interactive KPIs, filters, and time-based insights.
A structured SQL project using the Superstore dataset to analyze sales performance, customer behavior, and regional trends. Built a normalized database schema, loaded cleaned data, and answered key business questions using SQL queries. Includes foreign key relationships, data integrity constraints, and performance insights.
Segmented customers based on recency, frequency, and monetary value using Python. Identified high-value groups like Champions and Loyal Customers, and visualized insights to support targeted marketing.
Conducted EDA on the UCI Diabetes 130-Hospitals dataset to identify patterns in hospital readmissions. Analyzed the impact of age, gender, hospital stay, and medications using pivot tables, bar charts, and heatmaps. Delivered insights through a Python notebook and PowerPoint presentation.