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 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.
Implemented Supervised ML Classification techniques using scikit learn to predict discrete class labels or categories. Decision Tree Classification for health data sets to predict the correct medicine for specific patients and Logistic Regression for loan applications approved.
Developed Clustering models to target the potential customers for the Telecom Industry, as well as to explore the neighborhoods of Downtown Toronto and Manhattan from Tourism perspective using Foursquare APIs.
Predicting Housing Prices of residential homes in Ames, Iowa through Gradient Boosting technique with Mean Absolute Error Evaluation.
I can share my Data Science work related to the presentation, report, and Python Programming for your perusal. Looking forward to discussing this with you.