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Nilesh Chandel

@nileshchandel

Data Analyst at Eternal Limited (Zomato) who improved order conversion and cut analysis-to-decision time to 10–15 minutes.

India

Message

At Eternal Limited (Zomato), I used search-led assortment optimization across 1,650+ restaurants to drive 5–7% week-over-week and 8–15% year-over-year growth in orders and sales.

I improved conversion through user-level segmentation, funnel analysis, and ASV-based discount optimization. Trend and funnel analysis across mealtime, distance, and demand also improved M2O conversion and reduced rider churn.

I built KPI and performance trackers that cut analysis-to-decision time from 1–3 days to 10–15 minutes. Earlier, as a Data Science Intern at NullClass, I developed classification, voice analysis, and sign language recognition models.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Eternal Limited (Zomato)

Mar 2025 - Present (1 year 7 months)

Drove 5–7% WoW and 8–15% YoY growth in orders and sales through search-led assortment optimization across 1,650+ restaurants. Improved M2C to C2O conversion by 2–3% through user-level segmentation, funnel analysis, and ASV-based discount optimization.

SQL Redash Google Sheets Hypothesis Testing Funnel Analysis Trend Analysis User Segmentation A B Testing KPI Tracking

Data Science Intern

NullClass

Jan 2025 - Feb 2025 (1 month)

Developed ML models for age and gender classification and built a GUI-based voice analysis model for age-group and emotion prediction. Created a real-time sign language recognition model and optimized ML training and ETL workflows.

Machine Learning Python ETL GUI Development Model Optimization