Aniqa Ejaz

• Built end-to-end data platforms including Azure ETL pipelines, and SQL Server dimensional models, ingesting streaming and batch data from 40+ endpoints.
• Developed Power BI dashboards across 21 public spaces.
• Led the migration of real-time dataflow from Azure Stream Analytics to Microsoft Fabric.
• Integrated Infringement data with GIS parking zones to enable spatial compliance insights.

• Executed full lifecycle data analysis across textual, audio and visual datasets, from web scraping and data modelling to visualisation.
• Built a Power BI semantic model that unified disparate platform metrics, powering competitor intelligence dashboards that supported Geo News in sustaining a 46% market share.
• Automated ingestion of YouTube Live Stream viewership data at 15-minute intervals.

• Built a Python based time series model to forecast which US banks were likely to change rates based on economic factors.
• Achieved a 3.3× performance increase by optimizing backend SQL queries used in Appian’s automated data quality checks.
• Supported the automation team in developing and testing robotic models to automate high volume manual data entry tasks.

Grade: 3.9/4

Activities and societies: -

Completed a postgraduate diploma in Computer Science with coursework including data structures, algorithms, data communication, programming, database management, calculus, and computing.

Grade: 3.2/4

Activities and societies: Projects: • Real Time Crop Monitoring: Integrated location data from satellite imagery and IoT devices into a real time crop monitoring platform. • Spatial analysis of Air Pollution: Interpolation and hotspot analysis based on CO, SO2 and PM to map high pollution zones in Twin cities using ArcGIS.

Earned a Bachelor’s degree in Geoinformatics Engineering, studying areas including data warehousing and data mining, machine learning, statistics, programming, web development, linear algebra, and GIS.