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 auto encoder 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.
Apache Spark experience is gained in IoT devices like Mobile Censor, Washing Machine and wheel bearing data. Node-Red application is operated to store data in the NoSQL database. Then predicted models with ML algorithms.
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. Similarly, Ensemble methods to predict correct medicine for the patient.
Looking forward to discussing this with you.