About Me
Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and Tableau, developed through practical data analysis projects and professional certifications. Skilled in data cleaning, data transformation, explo…
Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, and Tableau, developed through practical data analysis projects and professional certifications. Skilled in data cleaning, data transformation, exploratory data analysis, dashboard development, and data visualization. Experienced in using SQL to extract, manipulate, and analyze data, and applying Python to process datasets and identify trends and patterns. Proficient in Excel and Power BI for building interactive dashboards, tracking key performance indicators (KPIs), and presenting business insights. Strong analytical and problem-solving skills, with the ability to translate complex data into clear, actionable insights that support data-driven business decisions. Eager to contribute to a data-driven team, continuously develop analytical skills, and create measurable business value.
Experience
Hotel Receptionist / Front Desk Assistant
<p>Managed guest reservations, payments, and customer records using a hotel management system.<br>
Maintained accurate booking and transaction data while ensuring efficient front desk operations.<br>
Handled guest inquiries and coordinated reservation requests, delivering consistent, high-quality customer service.</p>
Hotel Receptionist / Front Desk Assistant
<p>Managed guest reservations, payments, and customer records using a hotel management system.</p><p> Maintained accurate booking and transaction data while ensuring efficient front desk operations.</p><p> Handled guest inquiries and coordinated reservation requests, delivering consistent, high-quality customer service.</p>
PROJECTS
Customer Segmentation & RFM Analysis
<p>Developed a customer segmentation analysis project using SQL to identify valuable, loyal, and at-risk customers through the RFM (Recency, Frequency, Monetary) model. Extracted and analyzed customer transaction data, calculated RFM metrics, and applied SQL window functions, including NTILE, to rank customers and assign segmentation scores. Translated analytical results into actionable business insights to support targeted marketing campaigns, customer retention strategies, and re-engagement initiatives.</p>