Electrical Engineer | Space | AI | Languages | Robotics & Automation
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AutomotiveRadarLab
July 31, 2020 – July 31, 2020
Processing the automotive radar data given and obtaining the crucial parameters
View ProjectRadarDataAnalysis
July 30, 2020 – July 30, 2020
Analyzing the given radar data wrt length of Doppler processing and PRI and MTI implementation
View ProjectAmbiguityFunction
July 30, 2020 – July 30, 2020
Simple code, utilizes Matlab's inbuilt function to calculate the ambiguity of given radar settings.
View ProjectAntennaMeasurementProcessing
July 30, 2020 – July 30, 2020
The code deals with processing of data obtained from antenna measurements and determining various parameters
View ProjectSDML4
July 30, 2020 – July 30, 2020
Leaky wave evaluation of various antenna and different stratified media configuration
View ProjectSDML3
July 30, 2020 – July 30, 2020
Surface wave evaluation for different antennas and stratified media configurations
View ProjectSDML2
July 30, 2020 – July 30, 2020
Far field evaluation of elementary dipoles with various stratified media configuration
View ProjectSDML1
July 30, 2020 – July 30, 2020
Matlab routines to find the spectral green's function of various stratified media configurations
View ProjectWFIAssignment1
July 30, 2020 – July 30, 2020
Code for steepest descent algorithm and solving inverse scattering problem for various contrast function
View ProjectWFIInvScattProb
July 30, 2020 – July 30, 2020
Code for reconstructing the object domain contrast function using Born Approximation in inverse scattering problem
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic/research-oriented tasks in electromagnetics and signal processing using Matlab. While demonstrating strong analytical skills, there is a lack of diversity in technologies and project types that would typically align with a broader 'Data Scientist' role in a commercial setting. The absence of experience with common data science tools (Python, R, SQL, machine learning frameworks) suggests a potential mismatch with typical industry data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily technical and do not provide insight into collaboration, communication, or problem-solving approaches in a team setting.