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Muzaffar Khan Mohammed

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I am a Data Science Practitioner with a curiosity for Patterns Analysis and compassion to solve Business & Real World problems alike with the application of Statistical and Mathematical Modeling Techniques. I possess over 10 years of industrial experience in IT software assuming various roles. Currently applying Data Analytics, Machine Learning, Deep Learning Techniques in its entire pipeline, and working on projects based on Predictive Analysis, Computer vision, object Detection, sentimental Analysis & NLP, to progress my career in the Data Science domain. Coming from a Project Management background, gives me an immense understanding of the managing stakeholder's expectations, meeting deadlines, and effective communication. I'm a quick learner and have a good track record of working in difficult situations requiring exponential amount of work. I'm passionate about everything that I pursue and work with a result-driven approach to cater to the expectations. My Areas of Expertise are: Programming: R, Python - NumPy, SciPy, Pandas. Scikit Learn, Beautiful Soup, OpenCV Databases/ Data warehouses: AWS Redshift, Snowflake, SQL. Probability & Statistics: Central Tendencies, Probability Distributions, Hypothesis Testing Data Visualization: Tableau, Quicksight, Python’s Matplotlib, Seaborn. ML: Regression/ Classification, Clustering, Decision Trees, K-NN, SVM, ensemble learning (bagging and boosting)algorithms Deep Learning: Neural Networks (ANN, CNN, RNN basics), NLP, Text Classification Cloud, Big Data: AWS S3, Redshift, Athena, DynamoDB, Quicksight etc.. Project Management: Agile, Waterfall

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