Signal Processing Intern Resume
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Columbus, Oh
SUMMARY:
- Seeking full - time position as a data scientist applying knowledge of machine learning, deep learning, signal processing, and statistical data modeling.
PROFESSIONAL EXPERIENCE:
Confidential: Columbus, OH.
Signal processing Intern
Responsibilities:
- Working on signal processing algorithms and embedded systems considering real - time computing constraints. Object oriented programing (OOP) Implementing a machine learning framework in Microsoft Azure.
Collecting ECG, EMG, EDA data from subjects in a variety of conditions. Denoising, filtering and windowing physiological signals. Designing, analyzing and implementing different machine learning algorithms in Python (matplotlib, numpy, sci-kit, panda etc.) and Microsoft Azure.
Confidential, Columbus, OH.
Graduate Research Assistant
Responsibilities:
- Project: A suboptimal Multi-clustering Algorithm for Random Labeled point Processes
- Implementing a suboptimal clustering method based on Bayesian clustering. Allowing multiple clusters which is a valuable and interesting feature in a clustering problem. Reducing the computation complexities, run time compared to optimal clustering algorithm.
- The results show superiority of this suboptimal method compared to k-means, FCM, hierarchical, EM and random clustering methods.
- Working as a part of team to design and develop codes to produce complete and cost-effective physiotherapy equipment.
Instructor
Confidential
Responsibilities:
- Graduate Teaching Associate, Graduate Research Assistant
- Project: Classification of Lung Tissue in HRCT Images of Cystic Fibrosis Patients
- Segmentation of the parenchyma region in HRCT lung images from the abdomen and chest areas. Extracting the distinctive features using Wavelet transforms Classifying the normal and abnormal tissues (caused by Cystic fibrosis disease) by fuzzy support vector algorithm.
