Analytics professional building decision ready insights, intelligent automation, and visual stories that help teams move with confidence.
I am Vyas Kadiyala, a data analytics graduate and Associate Software Engineer based in Bengaluru. My work sits where operational data, business questions, and intelligent automation meet.
At Mphasis, I apply an analytics first mindset to production support, AIOps, and agentic AI workflows. I enjoy making complex systems legible, whether that means surfacing an incident pattern, designing a reliable data pipeline, or building a dashboard that makes the next decision obvious.
I am a US citizen and OCI card holder, authorized to work in the United States without sponsorship and in India.
Ingested more than 35 million NYC CitiBike rows with PowerShell and SnowSQL, then organized them into structured tables for high volume analysis.
Cleaned a large scale dataset in R and built interactive Power BI dashboards around content, ratings, and viewing habits.
Created a relational schema and ER diagram, then implemented data insertion and integrity rules for dependable analysis.
INTERACTIVE DEMO
A small anomaly detector running on synthetic server latency. Drag the threshold: set it low and it raises false alarms, set it high and it misses real incidents. That tradeoff is the heart of incident analytics.
4 of 4 incidents caught 1 false alarms
Yellow bands are real incidents. Red dots are points the detector flags. All data is synthetic.
Predictive Analytics, Database Management Systems, R Programming, Python
Business Analytics, Strategy Design, Marketing, Sales Analysis
Organized Indian culture events at Northeastern University.
Led budgeting, team delegation, and event logistics.
Coordinated speakers, schedules, and attendee engagement at REVA University.
I am interested in data analytics, business intelligence, analytics engineering, and product analytics opportunities where sharp questions and useful insights can create measurable impact.