About Me
Arun Biju
Lawrencetown, Nova Scotia, B0S 1M0
arunbijupersonal@gmail.com | +1 (902) 824 5925
http://arunbiju.comProfessional Summary
A motivated civil engineer and geospatial analyst with expertise in GIS, remote sensing, and automation. Proficient in Python, ArcGIS Suite, PostGIS, and open-source GIS technologies such as GeoServer and MapServer. Strong background in structural analysis, spatial data processing, and database management. Adept at solving technical challenges and delivering innovative solutions in municipal planning and engineering projects.
Education
B.Tech in Civil Engineering
Kerala Technological University, Kerala, India
2016 - 2020
Graduate Certificate in Remote Sensing
Centre of Geographic Sciences (COGS), NSCC, Nova Scotia, Canada
2023 - 2024
Graduate Certificate in GIS
Centre of Geographic Sciences (COGS), NSCC, Nova Scotia, Canada
2024 - 2025
Languages
Certifications
- Google IT Support Specialization (Coursera)
- Python Django Practical Guide (Udemy)
Work Experience
Research Associate
AGRG, Nova Scotia Community College
- TreeAIbox implementation: Refactored the deep learning framework into a standalone Python executable for robust instance segmentation of LiDAR point clouds, isolating merchantable trunks and enabling large-scale batch processing.
- Advanced forestry analytics: Developed a custom Volumetric Analysis Tool utilizing circle-fitting algorithms to calculate highly precise timber volumes from segmented tree data, achieving processing speeds of 125 trees per minute.
- Flood elevation modeling: Developed a custom Flood Query Toolbox utilizing Python and ArcPy to sample DEM and flood depth rasters, automating building elevation calculations for municipal floodplain management.
Truss Designer
Frank Illsley Woodworking
- Designed and modeled wooden truss components for structural projects.
- Ensured precision and durability in designs, collaborating with the team to meet project specifications.
Research Assistant
AGRG, Nova Scotia Community College
- Point cloud (LAS/LAZ): x,y,z + intensity/class; normalize to height above ground.
- Forest inventory: compute P95 height, canopy cover, stem count, and biomass proxies.
- Processing tools: PDAL / laspy / LAStools or R lidR for classification and DTM/CHM.
- Viewer options: ArcGIS PointCloudLayer or web stack (Entwine EPT → Potree / deck.gl).
- Automation: script PDAL pipelines and ArcPy/ArcGIS API to publish scene/EPT services.
Geomatics Engineer
Dream Nest Homes
- Collected and analyzed spatial data for civil engineering projects.
- Created detailed reports on distances, curvatures, and slopes to ensure project feasibility.
- Used GIS tools to assist in land planning and infrastructure development.
Jr. Python Intern (Part-time)
Inmakes
- Gained experience in web development, APIs, and data analysis.
- Worked on automation and scripting to enhance backend functionality.