Currently working as ML data operations at Amazon and a BTech Graduate in CSE (Data sci domain) from Lovely Profesional University as of 2025. Currently focused on building business-focused analytics projects to get hands on practice on my skills. Also, upskilling in french language.
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Recipient of Best Performer 100% Quality Award
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Experienced working with large-scale datasets and quality-driven operations
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Building end-to-end analytics projects focused on:
- customer behavior
- retention analysis
- business performance I’m passiolnate about analytics work that connects data directly to product, customer, and business outcomes.
- SQL
- Python (Pandas, NumPy, Matplotlib)
- Excel
- Power BI
- Tableau
- Exploratory Data Analysis (EDA)
- KPI Tracking & Reporting
- Customer Retention Analysis
- Cohort Analysis
- Segmentation
- Root Cause Analysis (RCA)
- A/B Testing Fundamentals
- Dashboard Development
- Business Metrics Interpretation
- Data Cleaning & Transformation
- Behavioral Analytics
- Funnel Thinking
- Retention & Loyalty Analysis
- Trend Analysis
- Decision-Focused Reporting
- Business Storytelling with Data
Behavioral analysis of 32M+ grocery purchases to identify the drivers of customer loyalty and repeat purchasing.
Key focus areas:
- reorder behavior analysis
- customer retention patterns
- department-level loyalty trends
- purchase timing analysis
- frequency segmentation
Tools: Python, pandas, Matplotlib, Kaggle
Interactive business dashboard analyzing sales performance, profitability, and customer trends.
Key focus areas:
- KPI tracking
- sales trend analysis
- profitability insights
- dashboard reporting
Tools: SQL, Excel, Pivot Tables, Charts
- Business Analyst Requirement Gathering — Amazon Learn
- Data Visualisation in Excel - Udemy
- Business Analyst Framework - Amazon Learn
- LinkedIn: https://www.linkedin.com/in/sarabjitmehta/
- Kaggle: https://www.kaggle.com/sarabjitmehta
- GitHub: https://github.com/sarabjit1003