Experienced in Data Science and analytics with a demonstrated history of working in the information technology and services industry solving real-world business problems across different domains in 5+ years of career. Skilled in Machine Learning, Computer Vision, Natural Language Processing, Information Retrieval with Data Visualization, Supervised Machine Learning Algorithms such as Linear and Logistics Regression, Decision Tree, Random Forest, XgBoost, SVM and Unsupervised Clustering, hierarchical clustering, Principal Component Analysis, Algorithms, Python Programming, SQL, PL/SQL, Deep Learning, CNN, RNN, LSTM, Tensorflow, Keras, Scikit, Spacy, Pandas, Numpy, Matplotlib, OpenCV Statistical, Probability Distribution, Confidence Interval, Regression, Correlation, A/B(Hypotheses) Testing, Chi-Square, ANOVA, and Time-series Analysis.