Engineer & Junior Data Scientist. Having more than two years of experience in Machine Learning with Python using Jupyter Notebook through Anaconda, Kaggle, and Google Cloud Platform. Sound exposure to Data Collection (including Data Scraping), 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, sports, telecom, and trading.
Implemented projects like "Energy Consumption in Netherland, a Nonlinear Regression Analysis", "Forecasting GHG Emissions", "Annaul Internet Usage" , etc
Besides, replicated 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.