Passionate data science and machine learning enthusiast with a strong background in statistics and programming. Experienced in developing end-to-end machine learning projects, from data collection and preprocessing to model training and deployment. Skilled in Python, Spark, SQL, and various machine learning frameworks such as Scikit-Learn and TensorFlow. Currently seeking opportunities to contribute to open-source projects and collaborate with like-minded individuals to tackle real-world problems with data-driven solutions.
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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
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