• Sankalp is a Full Stack data scientist with over 9 years of experience. He has agile software engineering experience with client facing consulting experience; translating business requirements into machine learning solutions. • Experience in the field of Data Science extensively in the algorithms which are used across the ML landscape and also includes: unsupervised clustering (Kmeans, Hierarchical, SOM), Ensemble methods for classification and regression problems (SVM, XGBoost, NueralNet), time series forecasting, and more general optimization and simulation development. • Experience in Big Data Analytics technologies using Hadoop, HDFS, Spark, Scala, Spark-SQL, Linux, MCS(MapR Control System), AMBARI, HUE, Hive, Pig, HBase, Sqoop, YARN, Oozie and Flume. • Work experience with Hadoop distributions like MapR and Hortonworks. • Work experience with Cloud Distribution like AWS and GCP. • Experienced with the Spark application in creating algorithm, improving the performance and optimization of the algorithms in Hadoop using Scala/Python, Spark Context, Spark-SQL, Data Frame, and Pair RDD's. • Worked on Spark Streaming to receive real time data from the flume and store the stream data to HDFS using Scala. • Good working knowledge in using Sqoop to transfer bulk data between relational databases & HDFS and Flume for ingesting streaming data into HDFS. • Wrote Hive queries for data analysis to meet the business requirements and involved in migrating Hive queries into Spark transformations using Data frames, Spark SQL, SQL Context, and Scala. • Knowledge of developing Data Ingestion and data clearing scripts using Shell script. • Experience in Oozie workflow for scheduling the jobs and creating dependencies between these jobs. • In depth knowledge of Job Tracker, Task Tracker, Name Node, Data Node, Resource Manager, Node Manager, YARN concepts. • Worked with agile, Scrum and Sprint software development framework for managing product development.