Wajahat Ali

Developed an interactive Sales Analytics Dashboard to monitor and compare key sales metrics across
multiple e-commerce businesses.
Helped companies improve sales performance by analyzing trends, identifying bottlenecks, and gaining
insights into their sales processes.
Handled and analyzed ad performance data (Google, Meta, etc.) to track ROI, CTR, CPC, and campaign
effectiveness
Set up a data lake architecture using Apache Spark, MinIO, and Nessie to manage and process large-scale
data efficiently. Designed and implemented real-time dashboards using Superset to visualize key metrics and
insights.

Enhanced and optimized machine learning and deep learning models for smart city analytics, leading to a
25% improvement in traffic data accuracy.
Deployed NLP-based AI agents that automated internal ticket responses, reducing manual workload by 40%
and improving response speed by 30%.
Collaborated with cross-functional teams to productionize ML pipelines, ensuring 99.9% uptime and seamless
integration with existing infrastructure.
Applied linear programming and statistical models to optimize IoT energy usage.
Enhanced system performance and cost-efficiency through strategic implementation of AI/ML workflows.