Sahista Naz

Produced monthly reports using advanced Excel spreadsheet functions.

• Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
• Used statistical methods to analyze data and generate useful business reports.
• Improved decision-making processes with accurate data analysis and visualization techniques.
• Client Data: Collect customer details such as names, contact info, travel preferences, booking dates, etc.
• Booking Data: Track the status of bookings (e.g., confirmed, pending, canceled), dates, and destinations.
• Payment Data: Manage records of payments, invoices, and receipts for each booking.
• Tour Data: Keep track of itineraries, services provided (hotel, transport, etc.), and locations visited.
• Dealing with Missing Data: Ensuring all relevant fields (such as booking dates, amounts, etc.) are filled out correctly.
• Data Validation: Use Excel features like data validation rules to ensure that all entries are consistent (e.g., ensuring dates are entered correctly, or prices are numerical).
• Removing Duplicates: Using Excel’s "Remove Duplicates" function to eliminate redundant records.
• Booking Trends: Analyzing which destinations are the most popular, the most common travel times, and peak booking seasons.
• Customer Segmentation: Segmenting customers based on criteria like location, travel preferences, or booking history.
• Revenue Analysis: Using pivot tables and formulas to calculate revenue, total bookings per month, average customer spend, etc.
• Pivot Tables: You could use pivot tables to create summaries of bookings by destination, date, or customer type.
• Graphs and Charts: Visualize the data trends, such as revenue over time, customer demographics, or popular destinations, using charts.
• KPI Tracking: Create a dashboard to monitor key performance indicators like bookings per month, revenue growth, customer satisfaction, etc
• Forecasting Demand: Based on historical data, you could use Excel’s built-in forecasting tools to predict future trends, such as demand for certain tours in the upcoming months.
• Trend Analysis: By analyzing past data, you could provide insights into upcoming travel trends and customer preferences.
• Macros: Automate repetitive tasks using Excel Macros or VBA scripting (for tasks like data entry or generating reports).
• Templates: Develop reusable templates for booking forms, customer data collection, or payment tracking.
• Data Validation: For ensuring data consistency.
• Pivot Tables: For summarizing large datasets.
• Charts & Graphs: To visualize data and identify trends.
• VLOOKUP, INDEX/MATCH: To look up and merge data from multiple tables.
• SUMIFS, COUNTIFS: For conditional summing and counting.
• Conditional Formatting: For highlighting key data points (like overdue payments or upcoming tours).