I'm Keerthi — a creatively-driven data scientist who’s worked across startups, research labs, and corporate teams. At AppLab Systems, I built predictive models and pipelines that made real impact — from boosting recommendation accuracy to optimizing database performance. At MSU’s biology lab, I turned over a million messy records into clean, insightful growth patterns using machine learning and visualization tools. And back at Varadhi Smartek. I helped architect the backend for a school system used by thousands, deploying scalable tools in the cloud before I even had a degree in hand.
Now, I build dashboards, deploy models, and run systems that work in the real world — not just in notebooks. Whether it’s NLP, ETL, or a clean UI, I care about making things useful, fast, and actually fun to work with.
Built scalable ETL pipelines and AI models that predicted user behavior and drove product decisions — including a 15% boost in retention. Refactored messy SQL into clean, lightning-fast queries, and made big data feel a little less big.
Processed 1M+ records of plant growth data using PCA, regression, and Python pipelines. Turned raw field measurements into insights that supported published research — and made biology a bit more computational along the way.
Designed a VR-based network monitoring tool using Unreal Engine, MySQL, and Wireshark — reducing debug time by 50%. Optimized data pipelines for 10,000+ nodes and got a crash course in building systems that actually scale.
From a mood-based music dashboard to a fake news detector and full-stack resume analyzer, my projects mix creativity with real engineering. I don’t just build for the portfolio — I build to learn, launch, and solve.
From student leadership to university honors — here’s a glimpse into the impact beyond projects.
My master’s degree was paid for because I taught — and that means something to me. I taught over 250 students across MTH and CMSE, graded relentlessly, hosted office hours that turned into mentoring sessions, and helped people understand concepts that once felt impossible. I earned my education by helping others earn theirs.
I didn’t just host events — I helped build a space where tech felt accessible, fun, and meaningful. I ran meetings, led collaborations, mentored peers, and brought companies like Google and Microsoft to campus. We launched coding competitions, AI groups, and late-night debugging sessions. It wasn’t a title — it was a community, and I helped it thrive.
From debugging code in sensor systems to wiring up parts of a robotic exosuit, I worked with teams who were building the future — quite literally. I learned to collaborate, contribute, and explore the edge of what tech can do, whether in aerospace, biomechanics, or embedded systems.
At Techstars Startup Weekend, I pitched a business idea that was voted one of the best — not just for the tech, but for the heart behind it. Later, I worked on AmruthaShala — a platform connecting home cooks to customers. React Native, Java, AWS — sure. But what I really built was a way to support community through food.
All of this — the teaching, the coding, the community — it’s not just “extra.”
It’s what makes me me. ✨
I’m probably sketching design ideas, obsessing over aesthetics, or thinking up quirky side projects I’ll definitely start and maybe finish. I love visual storytelling, world-building through games, and getting lost in graphic novels or anime that make you feel things. Creativity — the playful, messy kind — is how I recharge and come back stronger.