PROFESSIONAL SUMMARY
Python-based Data Analyst with hands-on experience in data analysis, visualization, and reporting. Skilled in using Python (pandas, NumPy, matplotlib, seaborn) to derive insights from structured data.
Completed multiple mini-projects including [Sales Data Analysis], [COVID-19 Data Dashboard], and [Customer Segmentation].
Working knowledge of SQL and Excel.
Enthusiastic about leveraging data to drive smart business decisions and looking for an opportunity to contribute in a data-driven environment.
PROJECTS
EDA on COVID-19 / Titanic / Sales Data
Technologies: Python, pandas, NumPy, Matplotlib, Seaborn
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Cleaned and analyzed real-world datasets using Python (pandas, NumPy)
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Built visual dashboards with Matplotlib and Seaborn to identify trends and outliers
Customer Segmentation Project
Technologies: Clustering techniques
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Used clustering techniques on retail customer data to segment customer groups
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Generated actionable insights for targeted marketing strategies
Hotel Booking Cancellations Using Data Analysis And Excel
Technologies: Excel, Data Analysis
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This project focuses on analyzing hotel booking data to understand the factors that influence booking cancellations.