Results-oriented Geoinformatics Engineer with industry experience through internships and a passion for utilizing geospatial data and statistics to address complex challenges in various domains. Demonstrated expertise in geospatial analysis, data handling, and statistical modelling, coupled with a drive to address complex challenges through interdisciplinary collaboration. A highly organized individual with strong analytical and problem-solving skills. Committed to pursuing further education to explore the intersections of geoinformation technology, data science, and their applications in various domains.
- Assisted in teaching children at an orphanage twice a week, providing educational support and guidance, along with mentoring the progress of individual children.
-Collaborated with other volunteers and staff to create a positive and enriching environment for the children by implementing classroom management strategies and fostering open communication with the children.
-Participated in organizing events and fundraisers to raise awareness and resources for the orphanage.
-Led and managed the Nust Book Club, a society dedicated to promoting reading culture and organizing literary events on campus.
-Organized Book Discussions, author talks and workshops to enhance member´s understanding of various genres and authors.
-Gained valuable experience in data management, analysis, and visualization by collecting and processing geospatial data using various software tools, ensuring data integrity and quality.
-Utilized statistical techniques to analyze geospatial data and identify spatial patterns and correlations.
-Developed proficiency in using statistical programming languages such as R and Python for data analysis and visualization.
-Presented the results through visual presentations and technical reports to communicate findings and provide insights for decision-making purposes.
-Contributed to a Geoinformatics project focusing on urban planning and analysis, where I collaborated with a team of engineers and geospatial analysts to collect, clean, and process geospatial data for the project.
-Participated in field work activities involving data collection using GPS devices and other data capturing tools.
- Assisted in developing and implementing data management strategies to ensure accuracy and integrity of geospatial datasets.
-Prepared technical reports and presentations summarizing the project advancements and developments.
- Geospatial Analysis ( spatial modelling, geocoding and georeferencing, spatial overlay etc)
- Statistical Analysis ( eg, predictive modelling, regression analysis)
- Proficiency in programming languages such as C, C, Java, Python, R and SQL
- Microsoft Office (eg, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook)
- Database Management ( eg, PostgreSQL/PostGIS, Microsoft SQL Server, GeoServer)
- Global Positioning System (GPS) technologies and Remote Sensing techniques (eg, satellite imagery, aerial photographs)
- Machine Learning algorithms and techniques for predictive modelling, anomaly detection, and pattern recognition purposes
- Data Visualization ( eg, thematic maps, interactive maps and 3D visualization)
- Spatial Data Infrastructure ( data catalogs etc)
- Geographical Information System (GIS) software´s such as ARCGIS, QGIS and ERDAS Imagine
- AutoCAD
- Organization ( having a strong ability to plan, prioritize, and manage tasks or projects effectively)
- Time Management (ability to manage time effectively, prioritize tasks, and meet deadlines in a fast-paced environment)
- Teamwork (proven track record of working collaboratively with diverse teams to achieve common goals)
- Attention to Detail (Excellent attention to detail and accuracy in completing tasks, ensuring high quality outputs)