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School of Engineering and Applied Science
Data Scientist
June 16, 2026 – Present
S2_G5_Network
February 1, 2026 – Present
Project on Coverage probability in wireless networks with determinantal scheduling
View Projectg7_s2_net
January 30, 2026 – Present
This project studies network congestion and queue delay using probabilistic models. Packet arrivals and service times are treated as random events. Queueing models like M/M/1 are simulated in Python to analyze waiting time, delay, throughput, and packet loss under different traffic loads.
View ProjectCSE400_Sec1_Group3_Networks
January 27, 2026 – Present
CSE400_Sec1_Group3_Networks — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on academic or personal research in network analysis and intelligent transportation systems, indicating a research-oriented mindset. The single listed experience as 'Data Scientist' at a 'School of Engineering and Applied Science' aligns with this. However, the lack of diverse project types or team-based work makes it difficult to fully assess cultural fit for a typical industry role. The experience level is 0, suggesting a very junior profile despite the 'Data Scientist' role title.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.