MS01 - Data Analyst
MS01 is an accomplished Data Analyst with over four years of combined experience in data analytics, software engineering, and IT support across the healthcare, e-commerce, and technology sectors. Armed with a Master's degree in Computer Science from the University of Colorado Denver, they have built a strong foundation in transforming complex, messy datasets into clear, actionable insights that drive smarter decision-making and operational efficiency.
In their current role at the Colorado Alliance for Health Equity and Practice, MS01 applies their analytical skills to some of healthcare's most pressing challenges. They analyze behavioral and physical health data to uncover correlations between chronic illnesses and mental health disorders, helping clinical teams develop more targeted and equitable care strategies. Through the development of Power BI dashboards and automated SQL reporting tools, they have improved patient engagement rates by 25% and boosted reporting accuracy by 30% — tangible results that reflect their commitment to data quality and meaningful impact.
Prior to this, MS01 served in an IT Support and analytics capacity at the University of Colorado Denver's Wellness Center, where they designed automated ETL pipelines, built internal web dashboards, and leveraged SQL and Excel to analyze workforce data — reducing reporting delays by 40% and contributing to a 15% reduction in employee write-ups.
Their career began in India as a Software Engineer at Cybage Software, where they honed their technical skills optimizing SQL queries, automating validation workflows, and supporting CI/CD pipelines for large-scale e-commerce systems — achieving a 30% improvement in data retrieval speed and 99.9% system uptime.
Beyond their professional roles, MS01 is actively exploring the cutting edge of AI, having developed a multi-agent data analytics system using CrewAI that reduced manual reporting effort by 60%. With certifications in Google Analytics, Python, AI Agents in LangGraph, and Salesforce Administration, they continue to grow at the intersection of data, automation, and artificial intelligence.