Hamza Ali Syed

Sole data engineer owning end-to-end analytics across two medallion lakehouses (SaaS + Web3). Built ~117 curated data models scaling to 55M rows. Designed AI-ready SSOT architecture enabling LLMs to answer ~90% of analytical questions. Built ICN blockchain-analytics lakehouse modeling ~58K on-chain events. Led zero-loss disaster recovery, resolving 10+ critical incidents. Resolved 361TB billing dispute & automated ARR/KPI metrics.

Built and owned data pipelines for monthly Business Review dashboards presented to leadership. Developed SSOT metrics pipelines with parallelization/caching, increasing efficiency by 40%. Team's go-to Looker expert, building numerous dashboards and visualizations. Collaborated cross-functionally to deliver data-driven insights for growth, user-engagement, and performance metrics.

Short-term freelance data science project. Applied data analysis and modeling skills on contract basis.

Built a unified & standardized database blueprint for data from multiple sources. Validated and corrected existing ETL pipelines & deployed new ones. Uncovered insights for customer metrics including churn, return, activity and conversion-to-premium. HQ: Miami, Florida, US.

Optimized AI-driven developer vetting pipeline at Turing.com. Reported north star metrics increasing team productivity by 70%. Analyzed funnel movement improving conversion rate by 60%. Deployed end-to-end support data pipeline reducing avg. response time by 4hrs & increasing customer satisfaction by 50%. HQ: Palo Alto, CA.

Part-time data science role at CampWest analyzing advertisement & sales data from digital marketing. Built revenue projection models with 98% accuracy, data pipeline at 95% less cost vs. 3rd-party alternatives. Helped grow sales by 30% via recommendation models & reduced churn by 20% through data-driven customer segmentation.

As a Data Scientist at CampWest, I spend most of my time analyzing advertisement data from digital marketing (social media & search engines etc.) coupled with sales data to extract meaningful information and provide appropriate advice to the companies to sell their products better using AI & other data driven techniques

My work involved research and development of real-world AI applications. My responsibilities included designing algorithms, hyper-parameter tuning, distributed training, and optimization of models. Most of my time is spent on a Neural Speech Synthesis System for end-to-end text-to-speech synthesis. I also worked on AI side of two more projects.