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 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.
Experienced in designing the algorithms with SVM, KNN, Decision Trees, Logistic Regression, Ensemble methods, and modern machine learning algorithms like Hybrid and Stacked Generalization.
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.
Recently completed two projects related to NLP, "Text Preprocessing with NLP", "Naive Indexer and Query Processor". Besides, completing certifications in Advanced NLP, and is also going on.