•Recently completed PGDiplomo in Data Science (R). Knowledgeable on variety of Data Science & Machine Learning algorithms both Supervised and Unsupervised Learning. •Keen to develop deeper expertise and gain exposure in the ML space.
•My current ML knowledge includes:
 Linear (Simple & Multiple) and Logistic Regression,
 Predictive Modelling
 Support Vector Machine, Decision trees and Random Forest,
 Naïve Bayes
 K-Means Clustering, K Nearest Neighbors,
 Text Mining,
 Forecasting &
 Time Series Analysis
•Performed data mining, data cleaning & explored data visualization, techniques on a variety of data stored in spreadsheets and text files using R and plotting the same using ggplot2 function
•Good exposure to designing and developing Tableau reports and dashboards for data visualization using R & Tableau
•Good knowledge about the Natural Language Processing using R
•Seeking a career with a progressive organization which will utilize my data science / analytic skills using R Language or other development skills, abilities and education.
•A quick learner, eager to prove myself as a valuable member of a team and achieve the career heights I aim for.
•Exposure to Big Data – Hadoop environment and its components HDFS, Apache Pig, Hive, Sqoop, MapReduce, HBase.
•Exposure towards Spark – RDD, Dataframes.