John R.

John R.

NairobiKenya

ML Engineer | Python | Data Visualizations| ML Models and Deployment

I am a data scientist with a few years of experience. I love working with Big Data and I take every opportunity I can to learn more about the field. I have written a few papers on machine learning and artificial intelligence. For all the potential employers, I am your go-to guy with all your data needs. I am proficient in a number of libraries associated with data: - Python sklearn - Numpy - Seaborn and Matlab -Plotly - Tableau and PowerBI I am an excellent communicator and will handle each job given to me with the utmost professionalism. I can work with tight deadlines and still deliver good quality.
Rating is 4.2 out of 5.
4.20 Oct 26, 2021 - Oct 27, 2021

"Good work"

Private earnings

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Portfolio

Spacy Named entity Recognition. (Resume Parser))
Spacy Named entity Recognition. (Resume Parser))
PaddleOCR Implementation.
PaddleOCR Implementation.
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John R.

John R.

NairobiKenya
1
Total Jobs

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ML Engineer | Python | Data Visualizations| ML Models and Deployment

Specializes in
I am a data scientist with a few years of experience. I love working with Big Data and I take every opportunity I can to learn more about the field. I have written a few papers on machine learning and artificial intelligence. For all the potential employers, I am your go-to guy with all your data needs. I am proficient in a number of libraries associated with data: - Python sklearn - Numpy - Seaborn and Matlab -Plotly - Tableau and PowerBI I am an excellent communicator and will handle each job given to me with the utmost professionalism. I can work with tight deadlines and still deliver good quality.
Rating is 4.2 out of 5.
4.20 Oct 26, 2021 - Oct 27, 2021

"Good work"

Private earnings

John R. has more jobs. Create an account to review them

Portfolio

Spacy Named entity Recognition. (Resume Parser))
Spacy Named entity Recognition. (Resume Parser))
PaddleOCR Implementation.
PaddleOCR Implementation.
Want to see more? Create Account
More than 30 hrs/week