سابقه کاری
Data Scientist
• Reviewed project data, technical reports, and site conditions to identify inconsistencies between design and implementation and support technical decision-making. • Evaluated proposed utility network alignments by assessing conflicts with existing underground infrastructure and contributed to technical decision-making on feasible routing alternatives. • Evaluated infrastructure conditions and implementation constraints to assess their impact on system performance. • Supported infrastructure pl
ML Engineer
• Processed and analysed HSL high-frequency positioning (HFP) GPS and telemetry data to detect and characterise sudden braking events. • Developed preprocessing pipelines and spatiotemporal filtering techniques to extract braking sequences from noisy real-world operational data. • Applied unsupervised machine learning methods (ML), including DBSCAN and K-Means, to identify spatial clusters and location risk patterns across the transport network. • Analysed spatial clusters and temporal patter
مهارتها و تکنولوژیها
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