I'm Keerthi, a creatively-driven data scientist building smart, beautiful tools that turn messy data into meaningful stories β from mood-based music dashboards to real-time network health predictors.
π¬ Connect with me!I specialize in ML workflows using TensorFlow, PyTorch, Keras, and Scikit-learn β from music mood prediction to WiFi anomaly detection.
Data storytelling is my thing. I wrangle with Pandas, NumPy, and build dashboards in Tableau that make patterns speak for themselves.
Whether it's Spark, Kafka, Docker, or CI/CD pipelines, I engineer data systems that scale and adapt across real-world applications.
I deploy projects on AWS β EC2, S3, Lambda, and DynamoDB β building secure, serverless systems that perform.
I love prototyping and bringing ideas to life with HTML/CSS, Django, React Native, and interactive APIs β form meets function.
You can download my resume below to get the full picture β experience, tools, and impact.
π View My ResumeIβve worked across startups, labs, and industry β building machine learning models, streaming pipelines, and data systems that donβt 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.