Shikhar Saini

- Integrated Microsoft TFS data into Power BI and automated refresh pipelines using Power Automate. - Designed reusable semantic models enabling dashboards to consume server‑level data with real‑time updates. - Optimized data storage architecture across multiple semantic models, eliminating duplicate datasets and improving performance in Power BI Service. - Worked with SQL‑based internal tools to transform and publish trading data to SharePoint for dashboard consumption. - Collaborated with business teams handling ISIN‑based securities data, ensuring accuracy and consistency for operational reporting.

Applied CNN model to echosounder data for automated fish identification at specific sea locations. The NetCDF library and Ifremer's tools (Panoply & Movies3D) were used for data understanding.

• As Master students at IMT Atlantique, we worked in team of 4 on a industry-led project with Alcatel Enterprise. • Experimented with various ML models for log analysis and employed the TensorFlow BERT model alongside a one-class SVM for anomaly detection.