Summary
Srikanth Gadicherla is a Senior Data Scientist with a decade of experience building probabilistic and deep learning solutions across research and industry, currently leading data science work at Metsä Board in Espoo. Trained at Aalto University in Machine Learning and Data Mining, he has deep expertise in particle filters, Gaussian Process measurement models and stochastic state-space methods, and a continuing interest in Deep Gaussian Processes. He’s shipped end-to-end Python ML systems for NLP and signal-processing clients, bridging research-grade probabilistic modelling with production workflows (Kubernetes + Airflow deployments are showcased in his recent repo). Comfortable switching between hands-on research and product-facing roles, he has also run data projects and product management stints that sharpen his ability to translate business problems into deployable ML solutions. Colleagues rely on him for uncertainty-aware modelling and pragmatic pipelines that balance academic rigor with real-world constraints.
10 years of coding experience
11 years of employment as a software developer
Master's degree, Machine Learning and Data Mining (Macadamia), Master's degree, Machine Learning and Data Mining (Macadamia) at Aalto University
B.Tech, Mechatronics, Robotics, and Automation Engineering, 8.4/10.0, B.Tech, Mechatronics, Robotics, and Automation Engineering, 8.4/10.0 at Shanmugha Arts, Science, Technology and Research Academy
English, Hindi, Kannada, Telugu, Tamil, Marathi