Summary
Yaswanthkumar Gothireddy is a Data Engineering Consultant based in Toulouse with eight years of experience building resilient data pipelines, machine learning models, and analytics products for aerospace and enterprise clients. He has led analytics and Palantir Foundry pipeline work for Airbus Supply Chain, built a Python mass-testing module for the Airbus Dragonfly project, and converted large PDF documentation into searchable, version-controlled cloud docs that reduced pilot onboarding time. Comfortable across the stack, he blends MLOps, Airflow orchestration, BigQuery and TensorFlow experience with hands-on ETL and KPI design to move prototypes into production. An active open-source contributor, he has engaged with the naas.ai community to create notebook templates and integrations that democratize data products. His background in mechatronics and embedded systems gives him an edge in experimental testbeds and sensor-heavy datasets, exemplified by a 91% wheel-classification model on noisy signals. He brings a pragmatic, product-focused approach to turning complex data and research problems into operational solutions.
8 years of coding experience
3 years of employment as a software developer
PGP in Big Data Analytics and Optimization, Artificial Intelligence, PGP in Big Data Analytics and Optimization, Artificial Intelligence at International School of Engineering (INSOFE)
Bachelor of Technology, Electronics and Communications Engineering, 72.22 %, Bachelor of Technology, Electronics and Communications Engineering, 72.22 % at Jawaharlal Nehru Technological University, Kakinada
Msc. in Data and Business Analytics, 3.7, Msc. in Data and Business Analytics, 3.7 at Rennes School of Business
Master of Technology, Mechatronics Engineering, 8.18 CGPA, Master of Technology, Mechatronics Engineering, 8.18 CGPA at National Institute of Technology Karnataka
English, Telugu, Hindi, French