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Burnaby
KAVEH KHOSHKHAH

KAVEH KHOSHKHAH

Data Scientist | Learning & Statistical Modelling

Scientific

Burnaby, Metro Vancouver Regional District

Social

Services offered

Data Scientist and Quantitative Researcher with interdisciplinary experience in modelling, simulation, and statistical analysis. Highly proficient in computational thinking and a broad range of programming tools, with a strong ability to develop and deploy end-to-end analytical workflows. Specialized in extracting insights from large-scale and complex datasets, including mobility, geospatial, and remote sensing data. Strong foundation in mathematical modelling, optimization, and machine learning, with a focus on solving real-world problems through data-driven methods. Collaborative and research-oriented, with experience across academic, industry, and government settings.

Machine learning
Data scientist
Statistical modeling
Data analysis
Quantitative researcher
Approximate rate: CAD$ 60 per hour

Experience

  • Programming and Frameworks: Python (NumPy, Pandas, SciPy, Scikit-learn, PyTorch), C++, Julia, SQL,
    MATLAB, ROS, Git, Docker, Unix/Linux
  • Machine Learning and modelling: Supervised and unsupervised learning, statistical inference, deep learning, mathematical and agent-based modelling, traffic simulation, optimization (Gurobi, CVXPY, PuLP)
  • Data Engineering and Processing: Data pipeline development, high-performance computing (HPC), distributed data handling (PySpark), working with structured and unstructured data
  • Data Sources and Types: Spatiotemporal data, mobile CDR, GPS traces, IoT sensor streams, GTFS feeds, satellite imagery (Sentinel-½)
  • Visualization and Communication: Data storytelling, custom Python dashboards, Power BI, Tableau

Education

PhD in Mathematics

MSc in Computer Science

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