Developed my expertise in machine learning by completing core specializations in Data Science. Analyzed different industries dataset for designing algorithms related to predictive modeling but not limited to energy, medical, automotive, housing, traffic, banking, and education. At present, giving solutions to customers in Data Science as a Freelancer and an Independent Contractor.
Recently provided a clustering, dimension reduction and autoencoder models to the client for their water treatment plant data in the "Data Mining Python Project" and "predictive models for health diseases through multi-label classification" on this platform. Also developed Clustering models to target the potential customers (Customer Segmentation) for the Telecom Industry, as well as to explore the neighborhoods of Downtown Toronto and Manhattan from Tourism perspective using Foursquare APIs.
Designed a model for JND Financial (US Firm) through Deep Neural Network using Keras for predicting loan application outcomes in terms of accepted or rejected, assisted through binary classification, data visualization, feature engineering, and statistical analysis.
Created a model through Logistic Regression for telecommunication firms, to predict when its customers will leave for a competitor so that they can take some action to retain the customers.
I can share my Data Science work (Python Programming including ETL) for your perusal. Looking forward to discussing this with you