Electrical Engineer

Nathan Bradshaw

********@******.*** (***) - *** - 4534 github.com/NathanBradshaw2002

Education

Purdue University Anticipated Graduation: May 2026 Bachelor of Science in Electrical Engineering (B.S.E.E.) Minor in Mathematics

Skills

Tools: Siemens, SolidWorks, MATLAB/Simulink, gnuplot, Microsoft Office Languages: Python, C/C++, Assembly, VHDL/Verilog

Concepts: Network Traffic Analysis, Instrumentation Amplifiers, Data Visualization, PLC Programming Experience

Tutor-Mentor, IU Student Success Corps Tutoring and Mentoring – Indianapolis, IN Nov 2023 – Present

● Provided individualized instruction in mathematics and introductory engineering topics to high school students across Indianapolis Public Schools, improving student performance and confidence.

● Developed engaging, concept-focused lesson plans tailored to diverse learning styles, with a focus on algebra, geometry, and problem-solving strategies relevant to engineering.

● Built mentoring relationships that supported academic growth and college readiness, emphasizing STEM pathways and critical thinking skills.

Student Researcher, Purdue Honors College – West Lafayette, IN Aug 2022 – Present

● Collaborated with faculty on academic research and technical projects, including design and analysis of instrumentation amplifiers for signal acquisition applications.

● Delivered a formal presentation on the behavior of nonlinear autonomous systems of differential equations, highlighting real-world modeling techniques and stability analysis. Projects

PCAP Analysis & Visualization C

● Developed a C/C++ program to read, analyze, and write PCAP files, calculating packet count, volume, and average size per user-defined time quantum. Output included charts using Gnuplot/Matplotlib Entropy Analysis of Packet Attributes Python

● Created time-series entropy analysis of network streams by classifying packets based on system, user, and ephemeral ports. Processed CSV data and visualized entropy variation to assess network behavior. DDOS Detection in Network Streams Python

● Processed compressed PCAP files to identify anomalies in network behavior using statistical metrics (packet size/count) at different intervals (1, 5, 10 minutes). Analyzed charts to detect signs of DDOS attacks. Advanced Entropy-Based Anomaly Detection Python

● Built statistical tables to compute entropy of source/destination IPs and ports across multiple k-bit groupings. Conducted comparative interval analysis (5, 10, 15 minutes) to identify patterns and suggest improvements in traffic anomaly detection.

Honors and Awards

Nominated, Dean’s List, Purdue School of Engineering and Technology Fall 2022 Semester - Ongoing Honors Student, Honors College, Purdue Aug 2022 - Present Honors Member, Alpha Lambda Delta, Purdue Aug 2022 - Present Honors Member, Phi Eta Sigma, Purdue Aug 2022 - Present Member, IEEE Club Aug 2022 - Present

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