I am an aspiring Data Analyst focused on turning raw data into actionable business insights using SQL, Python, Excel, and Power BI.
In my Customer RFM Segmentation & Retention Analysis project, I used Python, Pandas, NumPy, and K-Means to segment 4,338 customers into four behavioral groups. My analysis identified high-value customers and inactive customers who could be targeted for reactivation.
In my E-commerce Conversion Funnel Analysis project, I analyzed over 120K sessions, built interactive Power BI dashboards, and developed a Random Forest model to predict purchase probability. I also deployed a Streamlit application for interactive analysis.
My skills include data cleaning, exploratory data analysis, SQL queries, KPI reporting, dashboard development, and communicating business insights.
I am looking for remote Data Analyst internships and entry-level opportunities with international teams where I can contribute, learn, and grow through real-world business problems.
