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.
Predicted annual energy consumption in Netherland for the year 2019 in the Advanced Data Science Capstone Project. Performed all the architectural decisions like ETL, Data Cleansing, Feature Engineering, Model Designing (non-linear regression analysis) & Training, and Model Evaluation. The dataset is comprised of six million observations (10 years) and all the data is provided by three energy companies Enexis, Liander, and Stedin.
The above information is introductory. I can share all my Data Science work (Python Programming including ETL) for your perusal. Looking forward to discussing this with you