Turning Data Into Insightful Experiences

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.

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SKILLS & TOOLS

Building with Real Tools. Solving Real Problems.

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I specialize in ML workflows using TensorFlow, PyTorch, Keras, and Scikit-learn β€” from music mood prediction to WiFi anomaly detection.

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Data storytelling is my thing. I wrangle with Pandas, NumPy, and build dashboards in Tableau that make patterns speak for themselves.

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Whether it's Spark, Kafka, Docker, or CI/CD pipelines, I engineer data systems that scale and adapt across real-world applications.

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I deploy projects on AWS β€” EC2, S3, Lambda, and DynamoDB β€” building secure, serverless systems that perform.

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I love prototyping and bringing ideas to life with HTML/CSS, Django, React Native, and interactive APIs β€” form meets function.

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Want to see more?

You can download my resume below to get the full picture β€” experience, tools, and impact.

πŸ“„ View My Resume
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ABOUT ME

Built on Real Work. Backed by Real Experience.

I’ve worked across startups, labs, and industry β€” 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.

5+ years
Skill Experience
10+
Projects
5+
Clients
54k+
Followers