Summary
Sukhjit Sehra is a research-focused data scientist and academic with nearly two decades of research experience and a PhD in Computer Science, currently serving as an Assistant Professor at Wilfrid Laurier University and a Research Affiliate at UC Merced. He blends deep mathematical and statistical expertise with practical skills in Python, R, spatial tools (QGIS/ArcGIS), big data platforms (Hadoop, Spark, Hive) and databases (Postgres, NoSQL) to deliver reproducible, product-oriented research and analytics. His work spans NLP, topic modelling, spatial data quality assessment and machine learning for software effort estimation and energy-sector analytics, producing peer-reviewed publications and tools integrated into QGIS workflows. Beyond academia, he co-founded Sabudh Foundation to train underprivileged youth in AI/ML, and serves as an editor for several journals, signaling commitment to community impact and research stewardship. Notably, he bridges theory and practice by embedding algorithms into open-source geospatial tools and coordinating data science labs that turn research prototypes into teachable, deployable systems.
10 years of coding experience
17 years of employment as a software developer
10+2, Non Med, 10+2, Non Med at Govt College, Hoshiarpur
IK Gujral Punjab Technical University
Master of Technology (M.Tech.), Computer Science & Engineering, Master of Technology (M.Tech.), Computer Science & Engineering at Punjab Agricultural University
Bachelor of Technology (B.Tech.), Electronics & Communication, Bachelor of Technology (B.Tech.), Electronics & Communication at Guru Nanak Dev Engineering College, Ludhiana
Punjabi, English, Hindi