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, telecom, and trading.
Implemented Logistic Regresison for Telecom Customers which were leaving in future (max probability).
Besides, replicate 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.
For your work, we can go for multiple options like replicate any journal paper, any available model with some modifications, a combination of both or just create a new model on the basis of analysis on the aviailable daatsets.
Kindly look into my profile for a better understanding of my skills and experience.