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🍽️ Cloud Kitchen Analytics: Performance & Operations Dashboard

Project Overview : Food delivery is booming, but cloud kitchens face constant challenges in predicting peak hours, optimizing staffing, and identifying top-performing brands and locations. I built an end-to-end analytics solution using Google BigQuery (SQL & ML) and Tableau Public to turn real food order data into actionable business insights for cloud kitchen operators.

What I Did

•	Designed and executed a data engineering and analytics pipeline to answer

•	When are the busiest hours for food delivery?

•	Which restaurants and subzones drive the most orders?

•	Where do operational bottlenecks exist and how can they be addressed?

How I Did It

Technologies Used

•	Google BigQuery (SQL, ML) – Data cleaning, feature engineering, predictive modeling

•	Tableau Public – Dashboard development and business storytelling

Key Steps

•	Data cleaning & preparation of 21,000+ real cloud kitchen orders (SQL in BigQuery)

•	Feature engineering (order hour, busy hour flag, day of week, restaurant/subzone)

•	Exploratory analysis (order trends by hour, brand, area)

•	Built and evaluated a logistic regression model to predict busy hours in BigQuery ML

•	Developed an interactive Tableau dashboard for actionable insights

What It Led To

🕒       Predicted Peak (Busy) Hours for better kitchen scheduling and staffing

🏆 	Identified Top Restaurants & Subzones to target marketing and promos

📉	Visualized Operational Trends by hour, restaurant, and location

📊	Pinpointed Bottlenecks—such as high cancellation/return rates or uneven order volume

💡 Recommendations

Based on the data, I recommend:

    •	Increase staffing and prep during 7–10 PM busy hours

    •	Double-down on top-performing brands and subzones for promotions

    •	Streamline operations for “delivered” and “cancelled” order patterns

What I Gained

•	End-to-end project experience: data engineering, ML, and visualization

•	Hands-on practice with BigQuery ML and Tableau dashboarding

•	Real-world data storytelling for business decision makers

🎥 Project Demo

🎥 Watch the video walkthrough here

📁 Project Files

cloud_kitchen_dashboard.twbx

🙋‍♂️ About Me

I'm Bala Vikram – an aspiring Data Analyst passionate about using data to solve real-world challenges. I'm actively seeking full-time opportunities in data analysis, business intelligence, or analytics roles.

📩 Feel free to connect with me on LinkedIn or drop me a message if you'd like to collaborate or hire!

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End-to-end cloud kitchen analytics using Google BigQuery, SQL, Machine Learning, and Tableau

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