I'm Adithi Sreenath, an aspiring Data Scientist and ML practitioner based in Bangalore, India.
I work with data to extract meaningful insights and build predictive models. My technical focus spans statistical analysis, machine learning algorithms, and deep learning frameworks, with growing interest in generative AI and agentic AI systems.
My approach involves applying statistical methods and modern ML techniques—from feature engineering and model development to evaluation and deployment. I'm particularly drawn to exploring how traditional ML intersects with large language models and autonomous agent systems.
Currently pursuing my undergraduate degree (graduating 2026), I'm building hands-on projects that demonstrate practical ML workflows—from data preprocessing and exploratory analysis to model training and performance assessment.
Technical Interests: Predictive Modeling • Natural Language Processing • Computer Vision • MLOps • Agentic AI
Current Focus: Building practical ML solutions and contributing to open-source data science projects
- 🗣️ Self-taught Japanese and Korean to intermediate level at 16—just because I found them fascinating
- 🎨 I draw anime art as my personal therapy (and creative escape from debugging)
- 🧠 Death Note is my favorite anime—Light's genius is both terrifying and inspiring
- 🎵 Code to anime soundtracks, motivated by phonk beats and Haikyuu energy
- 💪 Philosophy: If Light can plan 10 steps ahead, I can debug this code
