{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/083e31a301a94be5a0a06bca3fcf8b08\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/083e31a301a94be5a0a06bca3fcf8b08-37ffa8070ad5c980.gif","duration":221.033,"title":"IntroToMyExperience","description":"In this video, I share my journey in building AI-driven data systems, particularly in high-stakes environments like oil and gas drilling where downtime can cost hundreds of thousands of dollars daily. My experience includes leading the development of a data platform that transformed manual reporting into operational KPIs, reducing processing time from 12 hours to under 10 minutes, and implementing an automated pipeline that improved data reliability for decision-making. At Neighbors, I spearheaded a real-time system that now generates approximately $5 million monthly by optimizing operations. My focus has always been on converting messy real-world data into trustworthy outputs that drive significant operational and financial outcomes. I encourage you to consider how similar data-driven approaches can enhance our own operations."}