Data Scientist

Summary

I am a highly motivated professional with a curious mindset and efficient learning ability, seeking out and solving challenging problems through unconventional data analyzing skills and result oriented creative problem solving. I bring with me over 8 years of professional research and programming experience. Currently, I am pursuing a PhD in biomedical engineering at the University of Kentucky while working as a graduate researcher on a cardiac-rhythm laboratory project funded by National Science Foundation (NSF) - a collaborative project between three research institutions.
Additionally, to my research, I mentor graduate students as a teaching assistant, requiring excellent communication skills, team-building and leading abilities and social empathy. I enjoy automatizing processes, and the use of technical products, with the aim to improve myself and my surroundings.
During my PhD journey I have worked in versatile projects which included skills such as:
Ability to work remotely
Regulatory process handling
Leadership skill
Product and market knowledge
Information management
Resource management
Project delegation
Data visualization
Data interpretation to achieve pre-defined goals
Technical skills to achieve goal: Python, Tensorflow.js with HTML, keras, scikit.learn, OpenCV, NLTK,
spaCy, LabVIEW, MATLAB
Operating System : Linux, Terminal coding, Ubuntu 10.0 and 12.0, Fedora 7 and 14.
Areas of research: Experimental design, Wearable technologies, Biomedical signal and image
processing, Audio processing, natural language programming, computer vision
Work permit: Green card EAD
I am open to relocation anywhere in USA.

Expectations

I offer experience in critical and analytical thinking, handling large amount of data, quick-learning ability, decision-making, and problem-solving and I strongly believe that my creative talents and excellent communication abilities will prove to be a valuable resource for your team and organization.
I excel in a workplace that promotes a culture of consensus-driven, strong collaboration and high-energy teamwork.

Work in United States
Employment Preferences
Expected Base Salary

**,000 USD

Expected Hourly Rate

**0 USD

Academic Degree
Experience

Total Professional Experience

4 years

Startup Experience

1 year

Big-Tech Companies

no experience

Enterprise Experience

no experience
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Contacts

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