Portfolio

Project Details:

Built a comprehensive real-time analytics platform for a major e-commerce retailer, processing 50M+ daily transactions with sub-second latency. Implemented streaming data pipelines using Apache Kafka and real-time dashboards that increased conversion rates by 23%.

Technologies Used:

Key Impact:

23% increase in conversion rates, 40% reduction in cart abandonment

Project Details:

Built an LLM-powered content moderation and risk assessment platform analyzing UGC at scale. Combined embeddings, classifier pipelines, human-in-the-loop review tools, and audit trails to reduce false positives and improve throughput.

Technologies Used:

Key Impact:

70% moderation throughput increase, 40% false-positive reduction, robust auditability

Project Details:

Built a modern full-stack web application for a fintech platform, delivering secure onboarding, account management, and analytics dashboards. Implemented a Next.js frontend, Node.js services, and PostgreSQL with role-based access control and CI/CD.

Technologies Used:

Key Impact:

30% faster feature delivery, 99.9% uptime, improved developer velocity

Project Details:

Created an industrial IoT data pipeline for a manufacturing company with 500+ sensors across 12 facilities. Implemented predictive maintenance algorithms that reduced equipment downtime by 35% and saved $2M annually in maintenance costs.

Technologies Used:

Key Impact:

35% reduction in downtime, $2M annual savings, 90% prediction accuracy

Project Details:

Built an executive dashboard for a retail chain with 200+ stores, providing real-time insights into customer behavior, inventory levels, and sales performance. Integrated data from POS systems, loyalty programs, and social media analytics.

Technologies Used:

Key Impact:

25% improvement in inventory turnover, 15% increase in customer retention

Project Details:

Led the complete cloud migration of a legacy data infrastructure for a Fortune 500 company. Migrated 500TB of data to AWS, implemented modern data warehouse architecture, and reduced infrastructure costs by 40% while improving performance by 300%.

Technologies Used:

Key Impact:

40% cost reduction, 300% performance improvement, 99.9% availability

Project Details:

Developed machine learning models for a supply chain company to predict demand across 1000+ SKUs. Implemented ensemble models combining time series analysis, external factors, and market trends, achieving 92% forecast accuracy.

Technologies Used:

Key Impact:

92% forecast accuracy, 20% reduction in inventory costs, 15% improvement in service levels

Project Details:

Built an automated ETL platform that integrates data from 50+ sources including CRM, ERP, social media, and third-party APIs. Implemented data quality checks, error handling, and automated reconciliation processes for a telecommunications company.

Technologies Used:

Key Impact:

90% reduction in manual data processing, 99.5% data quality score, 24/7 automation

Project Details:

Designed a security analytics platform for a financial institution, processing 10M+ security events daily. Implemented anomaly detection algorithms and real-time threat intelligence integration, reducing security incident response time by 70%.

Technologies Used:

Key Impact:

70% faster incident response, 95% threat detection accuracy, zero data breaches

Project Details:

Designed and implemented a HIPAA-compliant data lake for a healthcare network serving 2M+ patients. Created automated ETL pipelines for medical records, lab results, and imaging data while ensuring full regulatory compliance and data governance.

Technologies Used:

Key Impact:

99.9% data accuracy, 60% faster clinical reporting, full HIPAA compliance

Project Details:

Created a real-time personalization engine for a streaming media platform with 10M+ users. Implemented collaborative filtering and deep learning models to deliver personalized content recommendations, increasing user engagement by 45%.

Technologies Used:

Key Impact:

45% increase in user engagement, 30% improvement in content discovery, 20% reduction in churn

Project Details:

Developed a comprehensive data strategy and governance framework for Google to optimize data spend and improve data quality across their global operations. This involved creating a unified data catalog, implementing data quality monitoring, and establishing a data governance council.

Technologies Used:

Key Impact:

30% reduction in data spend, 80% increase in data quality, 5,000+ data assets cataloged