

Principal software engineer with 15 years of experience in designing, building and improving highly scalable and resilient enterprise applications. My passion towards data made me take up a few data-driven projects which includes building a few data pipelines, performing data analysis and building machine learning models that adds value to the business. Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Java Frameworks - Spring, Struts, GWT, extJS, Junit, TestNG and SOA(Web Services)
AWS Services: S3, EC2, EMR, IAM, SQS, SNS, Glue, Lambda, Elastic cache, step functions and cloudwatch
Bigdata Technologies: Hadoop, Hive, Impala, Sqoop, Cascading, Cassandra, SOLR, Kerberos, Spark, Airflow
Python libraries: pandas, numpy, scikit, nltk, ggplot, plotly, seaborn
Machine Learning: classification, regression, clustering, feature engineering, k-NN, Naive Bayes, SVM, decision trees, random forest, gradient boost, NLTK and word embeddings
R packages: tidyr, dplyr, magrittr, ggplot, plotly, leaflet, shiny, glm, randomforest and caretDatabase - Oracle, MySQL, Postgres, Derby, Allegrograph, Cassandra, MongoDB and SOLR