Jaimin Oza

•Developed probabilistic forecasting models using GAMLSS to predict wind power output, applying advanced statistical distributions for energy market planning. •Contributed to the development of the ROLCH package by implementing advanced statistical distributions and enhancing its flexibility for energy modeling applications. •Built automated test scripts to ensure the correctness of distribution functions and derivatives by benchmarking outputs against the original GAMLSS package in R.

• Designed and deployed LSTM-based models to estimate the Remaining Useful Life (RUL) of electrolyzers. • Developed a real-time data ingestion system using MongoDB, Docker, and PySpark, enabling engineers and lab teams. • Integrated ML services into operational pipelines using FastAPI and tracked deployments with MLflow, ensuring reproducibility and smooth handoffs between development and production.

•Created Power BI dashboards to track production KPIs and team performance, boosting operational visibility. •Automated reporting workflows using SQL and DAX, reducing manual reporting time by 60%. •Collaborated with leadership to define business-critical metrics and standardize data views across departments.

•Developed real-time analytics pipelines using Kafka, Apache Spark, and Hadoop to process large volumes of aerospace telemetry data for Airbus. •Built monitoring dashboards in Grafana for anomaly detection and performance tracking across IoT systems. •Contributed to MES analytics tooling and APIs, collaborating with cross-functional teams in France and Germany to support global deployments.

•Advanced Statistical Learning •Machine Learning for Complex Data •Big Data Analytics •Architecture of Database Systems •Realtime Operating Systems