Roman Lunhul
Data Analyst
Buharest
Summary
Data-driven professional transitioning from a Head Chef role to Data Analytics. Experienced in sales analysis, cost calculation, and inventory management, leveraging Google Sheets for data tracking and optimization. Skilled in reporting, data visualization, and business process improvement. Strong analytical thinking, attention to detail, and ability to work with large datasets. Passionate about mastering programming languages and advancing in the field of data analytics.
Overview
2
2
years of professional experience
3
3
Languages
Work History
Shef Cook
Wine Mood Bistro
03.2023 - Current
- Conducted dish sales analysis to identify popular menu items, optimize the menu assortment, and improve profitability.
- Calculated the cost of individual dishes and the entire menu, considering purchase prices, preparation costs, and other factors.
- Maintained inventory records using Google Sheets, ensuring data accuracy and reducing overuse of resources.
- Performed regular stocktaking and analyzed results to optimize resource utilization.
- Interacted daily with staff, analyzing their performance to improve workflows and boost productivity.
- Developed cost-saving strategies based on analysis of procurement and expense data.
- Created identical dishes numerous times daily with consistent care, attention to detail, and quality.
- Managed time by organizing and prioritizing kitchen duties to prepare and serve food quickly.
Education
Data Analyst
GoIT - Start Your Career in IT
Ukraine 04.2001 -
Skills
SQL
Python programming
Data visualization and presentations
SQL databases
Excel functions
Tableau
Google Analytics
A/B testing
Lookerstudio
PostgreSQL
Google Sheets
Microsoft Power BI
Additional Information
Project: Revenue Deep Dive – From Insights to Action
https://public.tableau.com/app/profile/roman.lunhul/viz/HomworcB3T4/PremiumDashboard
- Developed interactive Tableau dashboards to analyze revenue trends, user behavior, and business performance.
- Created key metrics using LOD expressions and Table Calculations, including Total Revenue, ARPPU, and Paid Users Count.
- Performed Cohort Analysis to track revenue retention and customer lifecycle insights.
- Visualized revenue distribution by location, product, and time, identifying growth opportunities.
- Designed dashboards following data visualization best practices (5-second rule, clear labeling, strategic layout, and color consistency).
Timeline
Shef Cook
Wine Mood Bistro
03.2023 - Current
Data Analyst
GoIT - Start Your Career in IT
04.2001 -
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