Shrishti Raizada

I’m a Software Engineer who enjoys turning messy data and manual workflows into systems that teams can rely on. Recently, I designed CI/CD pipelines on Azure DevOps, cutting deployment timelines by ~30% through cleaner automation and repeatable delivery.

In my internship at Barclays, I worked with Chilean pension data to identify >$200B AUM IRS opportunities and assessed DV01 exposure. I also automated client prioritization using VBA, reducing onboarding effort by 85% for 100+ clients, and built a Python lookback tool to analyze multi-quarter revenues for 400+ institutional clients.

At Varian (Siemens Healthineers), I developed a C# and .NET Core tool to support migrations from virtual machines to physical computers, driving a 70% reduction in deployment time. I built MSI and EXE installers using Wix to standardize deployments across multiple products, and I initiated brown-bag sessions to accelerate team-wide upskilling.

Beyond engineering, I’ve applied analytics to decision-making—engineering an AI Readiness index for 36 states using PCA, K-Means, and classifiers (~89% accuracy) and delivering Power BI dashboards with consistent benchmarking via AHP weighting and Min–Max normalization. I’m motivated by roles where I can combine software delivery with analytics that directly informs business and finance outcomes.