• Conducting geospatial analysis and visualizations in ArcGIS while managing and integrating spatially referenced data from multiple sources and formats• Utilizing R and Python to perform statistical analysis and visualization of spatial data and enhancing the interpretability of complex datasets related to wildland fire occurrences and behavior• Applying machine learning algorithms to develop and train predictive models for wildland fire analytics• Documenting research processes and methodologies and communicating findings through technical documentation, visualizations, and presentations

Masters in Data Analytics - Artificial Intelligence Specialization

• Reviewing requirements, specifications and technical design documents for developing comprehensive test cases, test plans, and reports.• Developing, writing, and updating automation scripts using open source tools such as Selenium and implementing CI/CD.• Testing APIs for functionality, performance, and security using tools such as Postman.• Investigating bugs, software defects, application usability, and functionality to provide timely feedback.

• Working on a system to perform automated testing for different services offered by micro finance banking services such as JazzCash and Easypaisa.• Developing automation scripts in Python for base rate and package testing for calls, messages, emails, and other data services on both prepaid and post paid networks.• Using the HeadSpin platform for capturing parameters such as data usage, sent and received packets, download speed metrics, etc.• Further developing a Flask API that is capable of running multiple campaigns using multi-threading, performing tests, and generating reports all through the integrated UI.