Data Scientist passionate about creating smart, innovative solutions.

I’m Shalavya Agrawal, a Data Scientist and AI Developer driven by curiosity and a deep interest in building intelligent systems that solve real-world problems. My journey into data began with an interest in how patterns emerge from numbers—and quickly evolved into a passion for machine learning, deep learning, and data-driven decision-making.

Currently pursuing an MS in Data Science at Northeastern University, I’m constantly sharpening my in areas like probabilistic modeling, MLOps, and large-scale data systems. For me, the most rewarding part of working in AI is seeing ideas go from concept to product—creating tools that not only work but make a real impact.

I spend most of my time searching for solutions to problems and bugs on my own, often turning to Google and ChatGPT for answers. I make mistakes and get frustrated, but I believe this is all part of the learning process. Despite the challenges, I continue to build and grow as a data scientist.

I’ve developed a strong foundation across the AI stack, from statistical modeling and data preprocessing to deploying scalable ML solutions. I work with tools like Python, scikit-learn, TensorFlow, PyTorch, and SQL, and I’m always exploring the latest in AI research and technologies to stay ahead of the curve.

Last but not least, I am a Computer Science graduate, but I still build, break, learn, and iterate.