Bhadresh Katariya

Background

About Bhadresh Katariya

Currently, I am working as a Cast Member at Cineplex Entertainment and as an Assistant Manager at Subway. At Cineplex, I’ve sharpened my customer service and operational coordination skills, overseeing concession stands and arcade zones to maintain a 95% customer satisfaction rate. At Subway, I assist in managing daily operations, staff coordination, and quality control, contributing to smoother service flow and team performance. Alongside these roles, I’m actively exploring opportunities in Data Analytics or related domains to apply my technical background in a data-driven environment. In my most recent role as a Database Engineer at Vosyn.ai, I built a cloud-native audio data pipeline on GCP, enabling extraction, denoising, and background noise removal using Deep Learning-based ETL processes. Through model experimentation and pipeline optimization, we reduced translation costs by 30% and improved processing speed by 40%. I also designed and implemented the website’s database architecture using Supabase, ensured efficient data handling, and delivered scalable code supported by clear documentation. Earlier, I served as a Senior Flutter Developer at Drunken Ducks, where I led a team that improved project delivery speed by 25% and code quality by 40%. My entrepreneurial experience managing Jalaram Kirana Stores strengthened my business strategy and customer retention efforts, resulting in a 50% revenue boost. Academically, I hold a Master of Science in Big Data Analytics from Trent University and a Bachelor of Engineering in Computer Science from Pacific School of Engineering, with a focus on data-centric systems and analytics. I bring a diverse skill set covering data engineering, statistical modeling, and machine learning, along with hands-on experience in tools such as Python, Power BI, and Tableau. I’ve developed strong leadership and coordination abilities, further reinforced through my role as a University Student Affairs Co-coordinator, where I supported new students through campus tours and onboarding. With a unique blend of technical and real-world experience, I am eager to contribute to a forward-thinking team focused on impactful, data-driven outcomes.