Mansoor Ahmad

Collected, analysed, and visualised operational and customer data to support data-driven decision making. Developed interactive dashboards and analytical reports using Power BI, Excel, and SQL. Automated data collection and processing workflows using Python, improving efficiency and accuracy. Collaborated with cross-functional teams to enhance service efficiency, and boost customer satisfaction. Played a key role in implementing a MySQL-based client database and integrating it with the company's local web portal. Improved billing and maintenance tracking systems through data integration and automation solutions.

• Developed predictive models for climate phenomena using deep learning frameworks such as TensorFlow and PyTorch.

• Conducted time-series forecasting on weather data to enhance environmental policy and planning.

• Performed remote sensing image classification using machine learning techniques for monitoring land cover change and environmental impact assessment.

• Implemented AI-driven models for air and water quality prediction, contributing to sustainable resource management.

• Executed complete data preprocessing pipelines including cleaning, normalization, and feature engineering for modeling.

• Utilized statistical tools and simulation environments to analyze complex datasets and derive actionable insights.

• Created advanced data visualizations using Matplotlib, Seaborn, Plotly, and QGIS for research communication.

• Applied SEM (Structural Equation Modeling) and DRASTIC method for groundwater vulnerability and environmental risk assessments.