Ayaz Wani is a Data Engineer with 2 years of experience building data-intensive applications, particularly in the healthcare field. He possesses hands-on industry knowledge in data analysis, focusing on collecting, sorting, and processing data to meet complex business requirements.
Experience
Data Engineer
Applied Informatics INC
Involved in building an ETL pipeline for First Commercial Space Flight (Inspiration-4) data, including writing test cases and handling diverse data types (spacecraft, apple watch, ultrasound) deployment. Involved in web scraping data for COVID-19 vaccination status and pre-processing it for ML models. Built recommendation/auto-suggest pipeline (iConnect). Built a data pipeline extracting and transforming data from application logs for EDA. Responsible for performing EDA on mobile health app data and log data, and creating visualizations. Worked on Minio (AWS S3 Based Object Storage) as part of ETL. Conducted R&D on OHDSI (open source health database).
Data Engineer Intern
Applied Informatics INC
Developed a Computer vision based object detection and tracking system for COVID SOP SUPERVISION, determining potential COVID-19 hotspots based on mask ratios. Extended system capability to IP cameras processing real video feed. Worked on parsing, transforming, and structuring data in different file formats.
Education
University of Kashmir
Maters in Computer Application
Distributed systems, Data Structures and Algorithms, Python, Networking, AI, Machine Learning, Data warehousing