Analyzed & curated data to develop algorithms, resulting in a 15% increase in model performance over 4 months.• Leveraged Python, PyTorch, TensorFlow, and Pandas to cleanse & prepare user data to develop innovative algorithms.• Rectified data discrepancies, preventing errors for a 20% improvement in the integrity of machine learning models.• Researched with ML product & scientific teams to translate user insights into actionable algorithmic solutions in 3 months.• Published a research paper on Automated and Continuous Chronotyping from a Calendar using Machine Learning.

During this internship with UCLA Health, I was working with the Solutions Architecture & Engineering Department in OHIA, the Office of Health Informatics & Analytics.• Gained hands-on experience with Azure DevOps, Azure Portal, and Citrix for cloud computing tasks.• Utilized Python and data structures to enhance existing architecture.• Collaborated on hospital infrastructure projects involving virtual machines.• IaC (Infrastructure as code) - Provisioned virtual machines with disk images through cod• Reviewed security controls posture for Ransomware readiness, Data protection, and Could Security

Math and English Instructor.