Habiba Aziz

Design and manage relational databases and data systems to support standardized data collection across maternal and fetal health programs. Develop executive-level Tableau dashboards and analytical reports using SQL and Databricks, and apply statistical analysis, NLP, and machine learning techniques in Python and R to support research and clinical outcome studies.

Managed large-scale clinical databases for Sudden Cardiac Arrest studies, ensuring data quality and HIPAA/GCP compliance. Performed data analysis and visualization using Python and R, conducted geospatial analyses using QGIS, and automated data workflows to improve efficiency and data integrity.

Analyzed social media, web, and email campaign data to evaluate engagement, marketing effectiveness, and donor trends. Developed Python-based predictive models to forecast donation patterns and built interactive Power BI dashboards integrating CRM data to track fundraising performance.

Led data collection, survey design, and dashboard development for the Open NYC Data Event 2021, delivering insights to support client and internal data initiatives. Mentored and supervised a multidisciplinary team of interns, providing training, project guidance, and technical support.

Developed and implemented Python scripts to automate the cleaning, analysis, and regional segmentation of CRM data, enhancing data accuracy and campaign targeting. Generated and maintained classified contact lists based on segmentation, regularly updating data throughout the fundraising campaign.

Led data development, cleaning, manipulation, visualization, automation, and presentation efforts for school quality data across multiple regions in the Northeastern United States using Python. Conducted a pilot study in the Richmond, VA area to identify optimal neighborhood zones for families by analyzing school quality data sourced from Great Schools and Niche, creating detailed maps to visually

Designed, developed, maintained, and enhanced responsive websites for both clients and the company, ensuring optimal user experience across devices and adherence to modern web standards.

Developed a geospatial database for a World Bank-funded project on 'Probabilistic Seismic & Flood Risk Assessment,' ensuring spatial accuracy and integration by producing shapefiles linked to the database for effective map creation and risk visualization.

Utilized Remote Sensing and GIS methodologies for mineral exploration in Chagai, Baluchistan, to develop a comprehensive mining dataset that identified and mapped mineral traces in the region.

Activities and societies: 2021 Eric Rosenthal Memorial Graduate Award; 2021 Data for Good Challenge 3: UN75 Visualization Challenge (first place at the UN International Computing Center's 2021 Global Hackathon).

Completed a Master of Arts in Data Analytics and Applied Social Research in June 2021.

Completed Continuing and Professional Studies in Contemporary American Business Practices (CAPS) with a focus on Web Development in December 2016.

Activities and societies: 2011-2015 Best Student Award and Student Proctor, Department of Geomatics, University of Peshawar.

Completed a Bachelor of Science in Geomatics with a focus on Geographical Information System and Remote Sensing in June 2015.