Since my Bachelors, I am inclined to projects that lead to either data management, analyzing and interpretation or infrastructure management. My inclination to data has set me to the path of Data Science and Analytics and I am currently seeking opportunities to work with people who share the same passion for Data. Project Area: Social Science, Web Crawlers, Streaming Analytics, Market Segmentation, Application Development, Data Management, Data Pipeline, Trend Analysis, Time Series Analysis, Regression Analysis on Inventory Data, Natural Language Processing, Machine Learning for Predictive Analysis, Stock Market Analysis(NASDAQ). Skills that I broadly use in conducting any data science study are Python(Numpy, Pandas, Scikit-learn), R Programming, SQL, Tableau, SAS, Excel, Docker, Container, Apache Airflow, Apache Kafka.I am greatly interested in Cloud technologies as most of the services as well as storage mediums are being shifted to the cloud and hence have used - Amazon Web Services as cloud platform: S3, Redshift, SQS, RDS, EC2.Algorithms and statistical processes: Machine Learning in Python, Predictive Analysis, Trend Analysis, Regression Analysis, K-NN, Naive Bayes, Random Forest, SVM, Neural Networks, LASSO and Ridge Regression, Matrix Factorization for recommendation systems, Clustering Algorithms.