I'm Keerthi, a creatively-driven data scientist building smart, beautiful tools that turn messy data into meaningful stories — from mood-based music dashboards to real-time network health predictors.
📬 Connect with me!
I specialize in ML workflows using TensorFlow, PyTorch, Keras, and Scikit-learn — from music mood prediction to WiFi anomaly detection.
Machine Learning & AI
Data storytelling is my thing. I wrangle with Pandas, NumPy, and build dashboards in Tableau that make patterns speak for themselves.
Data Analytics & Visualization
Whether it's Spark, Kafka, Docker, or CI/CD pipelines, I engineer data systems that scale and adapt across real-world applications.
Big Data & Infrastructure
I deploy projects on AWS — EC2, S3, Lambda, and DynamoDB — building secure, serverless systems that perform.
Cloud Platforms & Services
I love prototyping and bringing ideas to life with HTML/CSS, Django, React Native, and interactive APIs — form meets function.
Creative Tech & Tools
You can download my resume below to get the full picture — experience, tools, and impact.
📄 View My Resume
I’ve worked across startups, labs, and industry — building machine learning models, streaming pipelines, and data systems that don’t just sit pretty, they *do the job*. I studied CS at MSU, but I learned the most on the job: predicting behavior at AppLab, visualizing networks at GM, and using AI to decode crop growth in a research lab. I care about clean systems, thoughtful design, and building tech that solves the right problems.
