Machine Learning done right, providing predictive power to people.

I am a Machine Learning Engineer with 2 years of ML experience working at Amazon. I have done several internal regression and classification projects using DecisionTrees, Random Forests, Gradient Boosted Trees and NeuralRegressors.

I believe that with my current experience and background in both ML and software engineering I would be able to help solve the most challenging ML problems.

As for experience I have
- Worked on Keras for Sales prediction at my current workplace. I used Keras LSTM for this purpose. This involved setting up GPU instance on AWS and then fine tuning keras LSTM parameters for performance.
- Worked on scikit, pandas, numpy and other python data science libraries for Internal Machine Learning Problems.
- Experience in Java, SQL and AWS Technologies (part of my current job).
- Used visualization libraries like matplotlib, seaborn and plotly to present visual interpretation of data.
- Written Open source Data science utilities Library, check here: https://github.com/faizanahemad/data-science-utils/
- Blog about Data science here: https://medium.com/@faizanahemad

Work Terms

Communication: English
Work: 4 hours a day (Any time zone can be managed)
Payment: Divide work into Milestones and track progress granularly, payment per milestone.