🚩 Created an adaptive reward system that saves employees 30% on commute expenses by continuously tailoring personalized incentives.🚩 Automated trip detection and commute footprint calculations with 82% accuracy by developing an XGBoost-KNN model using phone GPS data.🚩 Boosted user engagement by 65% by developing critical features such as self-reporting of trips, footprints calculator, and in-app notifications.🚩 Enabled real-time ridesharing by creating optimized matching algorithms that calculate trip fares, pair riders and drivers, and reduce commuting costs by an average of 20%.🚩 Led end-to-end data analysis and annual reports of organizations including Downtown Denver Partnership and Rocky Mountain Mechanical Contractors Association.🚩 Collaborated with and mentored engineering teams in the US, Egypt, Brazil, and India.🚩 Contributed to raising over $1M in funding by preparing pitch deck slides, data insights and market research

🚩 Contributed to 5 funded projects ($1.2M total) by conducting research, building models, analyzing data, and delivering reports and presentations.🚩 Saved 15% on costs, additional 8% reduction in emissions by developing an innovative combined logistic regression and multi-objective MILP model for businesses.🚩 Reduced University of California, Fresno's all-electric fleet operational costs by 20% by developing a MILP model. Improved computational efficiency by 80% using column generation and decomposition algorithm.🚩 Improved solution to a benchmark problem in scheduling construction activities of repetitive projects by 15% in terms of cost and 5% in project duration. Developed a new mathematical model and solution technique based on Lagrangian dual that could reduce optimality gap to less than 1%.🚩 Evaluated several classification ML models, such as Decision Tree, XGBoost, AdaBoost, and Random Forest with up to 93% accuracy in detecting potholes, cracks, and joints on road surfaces using acceleration, GPS, and acoustic data.🚩 Implemented visualized street-level network maps for optimizing DOTs' annual maintenance budgets, enhancing data-driven decisions and infrastructure resilience.

💼 Instructed on construction project planning using software such as AutoCAD, Revit, Civil3D, NavisWorks Manage, Primavera, and MS Project, covering syllabus creation, class prep, assessments, and office hours.● CVEN 1025: Civil Engineering Graphics and Computer-Aided Design● CVEN 5240: Building Information Modeling (BIM)

💼 Responsibilities included, but not limited to, examination, grading, designing homework, teaching computer lab sessions, proctoring exams, posting materials, and grades online, and on-campus 2-hour office hours per week.● CVEN 5240: Building Information Modeling● CVEN 4232 & CVEN 5232: Construction Planning and Control● CVEN 3121: Mechanics of Materials● CVEN 4230: Construction Engineering Systems