Data Science and bigdata

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More than two years of experience in Machine Learning with Python using Jupyter Notebook. Sound exposure to Data Preprocessing, Data Analysis techniques like Data Visualization, Feature Engineering, and Statistical Analysis; and model designing with Machine and Deep Learning algorithms. Analyzed different industries dataset for designing algorithms related to predictive modeling and clustering but not limited to automotive, banking, education, energy, housing, medical, retail, sports, telecom, and trading. Replicated a journal paper ( Beijing Housing Price Prediction via Improved ML Techniques) for estimating London residential prices for one of the client master thesis involving geospatial data, transaction data, and macroeconomic data. Besides, generated reports, technical proposals and presentation. I will share some work on your request or kindly look into my profile for a better view.

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