Resume

Muhammad Tayyab - GIS Analyst & Spatial Developer

TAYYAB MANAN

GIS Analyst & Spatial Developer

haris.a.mannan@gmail.com+92-324-9941206Islamabad, Pakistanhttps://github.com/TayyabMananhttps://www.linkedin.com/in/muhammad-tayyab-3962a2373

Professional Summary

Experienced GIS Analyst and Spatial Developer with expertise in geospatial analysis, web development, and data visualization. Skilled in Python, React, QGIS, and various GIS technologies with a focus on solving real-world problems through spatial analysis and machine learning.

Professional Experience

GIS Analyst & Spatial Developer

Freelance, Islamabad, Pakistan

Jan 2023 - Present
(2 years, 6 months)
  • Developed comprehensive GIS applications for spatial analysis and data visualization
  • Created interactive web mapping applications using React and modern web technologies
  • Implemented machine learning algorithms for predictive modeling in geospatial contexts
  • Collaborated with clients to deliver high-quality geospatial solutions and dashboards

Technologies: Python, React, QGIS, ArcGIS, PostgreSQL, PostGIS, JavaScript, Next.js

Education

Bachelor of Science in Geography/GIS

University of the Punjab, Lahore, Pakistan

GPA: 3.0/4.0

2021 - 2025
  • Outstanding performance in GIS and Remote Sensing

Technical Skills

Programming Languages:

Python, JavaScript, TypeScript, SQL, R

GIS & Remote Sensing:

QGIS, ArcGIS, Google Earth Engine, PostGIS, GDAL

Web Development:

React, Next.js, Node.js, HTML/CSS, Tailwind CSS, Flask

Data Analysis & ML:

Pandas, NumPy, Scikit-learn, Matplotlib, TensorFlow

Databases:

PostgreSQL, SQLite, Firebase

Cloud & Tools:

Google Cloud, Vercel, Git, Jupyter

Key Projects

WaterTrace Pakistan

Demo: https://watertrace.vercel.app

Groundwater monitoring system analyzing 22 years of satellite data (2002-2024)

  • Processed GRACE satellite data for groundwater trend analysis across 145 districts
  • Implemented predictive models for water resource management using machine learning
  • Created interactive dashboard with real-time data visualization and trend analysis

Technologies: React, Flask, Google Earth Engine, Machine Learning, GRACE/GLDAS

EV Suitability Analysis

Demo: https://ev-analysis.netlify.app/

Spatial analysis for Electric Vehicle infrastructure planning in Lahore

  • Analyzed 5 tehsils of Lahore for optimal EV charging station placement
  • Integrated demographic, economic, and infrastructure data for site selection
  • Developed weighted scoring algorithm achieving 90%+ coverage target

Technologies: Python, QGIS, ArcGIS, OpenStreetMap, Demographic Data

Certifications

Going Places With Spatial Analysis

ESRI

Jan 2024

Achievements

Open Source Contributor

Active contributor to GIS and web development open source projects

2023-Present