Data Scientist & Climate Researcher
Lead, Climate Data & Modelling Team
Weather and Climate Services (Pvt.) Ltd., Islamabad, Pakistan
I am the Lead of the Climate Data and Modelling Team at Weather and Climate Services (Pvt.) Ltd., Islamabad, Pakistan. I hold an MPhil in Computer Science from Quaid-i-Azam University, Islamabad, with research interests at the intersection of machine learning, data science, complex systems, and climate science. My research focuses on climate extremes and their impacts, including extreme-event detection and attribution, compound climate extremes, floods, heatwaves, humid-heat stress, climate-risk assessment, and climate modelling. I also work on climate-data analysis, bias correction and statistical downscaling, climate emulation, and uncertainty quantification, with a particular interest in applying machine-learning methods to complex climate and environmental systems. My research has contributed to peer-reviewed publications, scientific reports, and decision-support tools, including work published in Nature Climate Change, Frontiers in Climate, and CEUR Workshop Proceedings, as well as contributions to MediaEval and the World Weather Attribution initiative.
Python, R, JavaScript, PHP, Java, C++, SQL, Bash · PyTorch, TensorFlow, MATLAB, OpenCV, NumPy, Pandas, GeoPandas, NetworkX, Owlready2
CDO, xarray, NetCDF · ERA5, CPC, IMERG, MERRA-2, CRU, CHIRPS, CHIRTS · CMIP6, CORDEX, ISIMIP, DAMIP, GCMs, RCMs
Machine Learning, Deep Learning, Graph Neural Networks, Explainable AI, Data-Centric AI, Computer Vision, Anomaly Detection, Graph Theory, Network Analysis, Extreme Value Theory, Statistical Downscaling
Power BI, Matplotlib, Seaborn, Plotly, MATLAB
Django, Flask, Laravel, CodeIgniter, React.js, Node.js, Express.js, MySQL, MongoDB, Ubuntu
Developed the WWA methodology for extreme event attribution in Python — enabling rapid climate attribution studies for floods, heatwaves, and compound events.
Forecasting dashboard for metabolic equivalent task (MET) during extreme hot conditions, supporting real-time monitoring of humid heat across Pakistan.
Presenting the tradeoff between extreme humid heat conditions and productivity of skilled labor in Pakistan, with planned extension to global scale.
Full-featured application for finding and listing rental properties with search, filter, and geolocation capabilities.
Comprehensive LMS with course management, student tracking, and integrated parental control for educational institutions.
Coronary Heart Disease ontology using Owlready2 for structured biomedical knowledge representation and reasoning.