Teams at Saras Analytics

Design, build, and maintain scalable Python-based ETL/data pipelines on cloud platforms. Integrate diverse data sources, implement data models, ensure pipeline performance and data quality, monitor and troubleshoot systems, and collaborate with analysts and data scientists. Document architecture and processes.

Lead retention strategy for e-commerce brands by developing lifecycle programs across email, SMS, loyalty, and Meta. Use analytics to segment customers, optimize engagement, and collaborate with product, engineering, and marketing to reduce churn and grow repeat purchase rates and LTV.

Analyze e-commerce customer behavior and funnels to drive revenue growth, optimize pricing and retention, reduce costs across fulfillment and CAC, build dashboards and models, run A/B tests, and present insights to CXOs to improve profitability and marketing efficiency.