Over more than 1.5 years of work experience as an important asset of the organization (Pharma and Healthcare) along with analytical-thinking and with demonstrated experience in data science background along with data engineer skill sets • Statistical skills: Descriptive statistics, Probability distributions, Hypothesis testing, chi-square test, Principal component analysis, Regression analysis, ANOVA • Programming: expertise in R (2+yr), Python (1+yr) and SQL(1+yr) • Machine learning: Linear Regression, Logistic Regression, Decision Tree, SVM, Naive Bayes, kNN, K-Means clustering, Random Forest, Gradient Boosting algorithms (GBM, XGBoost) • Deep Learning: Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Network • Natural Language Processing: Document Clustering, & Classification, Named Entity Recognition, Topic Modelling • Visualization skills: matplotlib, bokeh, seaborn, ggplot, Rshiny • Data engineering: AWS Athena, Redshift, Hive, Hadoop