Data scientist


My background involves Machine learning and software development. I have a M.S. degree in Staitstics and a Ph.D. in Engineering. I am proficient in python programming, sql and have experience in machine learning and statistical modeling, especially their application in real-world problems.
Some of my previous school and work projects are 1. Use Reinforcement learning as a tool to build multi agents for automatic well controls system and optimum production. 2. Established predictive models for oil production with recurrent neural network and improved RNN using Bayesian optimization. 3. Computer vision detection to digitize old paper-based schematics by detecting essential component in the schematics using RetinaNet model. I managed to learn fast about modern object detection APIs using TensorFlow and Pytorch and completed the project successfully in time.
In my full-time job, I serve as a software engineer and has gained skills in full stack web application development. Even as a new hire, I have been able to collaborate well with other team members both in my office and across the world with the aid of tools like Jenkins, Git and Agile process.
Overall, I am a data scientist with exceptional coding skills and business sense. I hope I could be considered as a candidate for data scientist or machine learning expert positions.


My background involves both statistics and machine learning. I am proficient in python programming and have experience in deep learning, especially the application in real world problems. I also gained experience in full stack web application development during my last full-time job. I wish to find a job that could utilize all of my skills. I am expecting to work with brilliant colleagues on creative, fast pace projects.

Employment Preferences
Expected Base Salary

**,000 USD / year

Expected Hourly Rate

** USD

Academic Degree

Total Professional Experience

1 year

Startup Experience

1 year

Big-Tech Companies

no experience

Enterprise Experience

1 year
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