A data engineering professional with a passion for working on meaningful projects and causes with a social impact. Excited about data-driven solutions.My interest lies in goofing around with data.  Languages: Python, R, SQL, Spark Machine Learning concepts:Feature Selection and Dimensionality Reduction, Regression, Clustering, Classification, Naive Bayes, Bayesian Learning, Ensemble Methods, Artificial Neural Network, Model Selection and Assessment, Exploratory Data Analysis, Data Wrangling, Information Visualization, Language Modeling, Topic Modeling, NLP Tools/IDEs/Frameworks:RStudio, Git, Jupyter, Tableau, PostgreSQL, Apache Cassandra, AWS (SageMaker, S3, EMR, Redshift), Git.
, Anaconda Libraries/Packages:NumPy, Pandas, scikit-learn, BeautifulSoup, Requests, Matplotlib, ggplot2, Seaborn, Plotly, XGBoost, NLTK, tidyverse, dplyr IJIRCCE: Published a review paper entitled Fusion of Big Data and Healthcare: A Review Vol: 05, Issue: 5, May 2017I look forward to working with a world-class analytics team in the future and if there is an opening in your team and you are solving problems using data, I am interested!