Kamran Ali

Thesis: Optimized RGB image reconstruction from active display areas for in-cabin video streaming and driver monitoring using AI. Trained different models to reduce artifacts. Evaluated 2–5 MP RGB cameras and OLED/LCD displays for clarity and DMS use. Applied deep learning for color, sharpness, and noise enhancement. Aided heart rate detection via visual signal processing.

Managed Europe’s largest team dashboard in Power BI, enhancing user experience with advanced navigation and KPI updates. Integrated data from SQL, Data Lake, and Amazon Redshift for real-time reporting. Developed actionable DAX metrics, refined data visualizations, and collaborated on monthly project performance reporting to deliver key business insights.

Designed and implemented an end-to-end logging and monitoring solution for Azure Databricks, enhancing operational visibility and real-time performance tracking. Created dynamic Grafana dashboards using KQL for actionable insights, and integrated Azure Key Vault for secure management of credentials and configurations, ensuring robust data security and compliance.

Created scalable ELK infrastructure for efficient log management. Tuned Elasticsearch performance, developed data pipelines with Log-stash and Beats. Proficient in data modeling, indexing, and search APIs. Integrated Elasticsearch with various systems and used Kibana for data visualization. Employed X-pack for security, alerting, and monitoring.

Experienced in Tableau design and development, creating business requirement docs for dashboards. Designed, published interactive reports, dashboards, and scheduled using Tableau Server. Utilized action filters, sets, parameters, and calculated sets. Crafted scorecards, dashboards with various visualizations. Developed detailed summary reports with trend lines, statistics, and hierarchies. Proficient in SQL, creating complex stored procedures, triggers, tables, and views for applications.