Client

Direct-to-Consumer Analytics Platform E-commerce Analytics / SaaS

Challenge

Project Overview : The SaaS platform struggled with surfacing buyer insights in real-time. Their dashboards lagged with high-volume events. I rebuilt the backend to allow live analytics with actionable segmentation.

Solution

My Role : Architected and implemented a scalable AI-powered insights engine. Integrated multi-source data streaming and real-time dashboards tailored for e-commerce decision-makers. Tech Stack : Python (Pandas, NumPy), Apache Kafka, Plotly, Airflow, PostgreSQL.

Results Achieved

5x boost in reporting performance, Enabled real-time buyer segmentation, Improved accuracy of trend prediction by 20%.

Client Feedback

We went from laggy dashboards to lightning-fast insights. You built the brain of our platform.

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