Richardson, Texas, United States
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13+ years of overall IT experience in Application Development in Hadoop(Using Python),Machine Learning & Informatica. 2 years of Experience in Data Science/Machine Learning 5 years of exclusive experience in Hadoop and its components( using Python ) like HDFS, Map Reduce, Apache Pig, Hive, Sqoop , HBase and Oozie, Spark & Python(PySpark) Learnt Data Science and Machine Learning through www.scaler.com from November 2022-November 2024 Learnt Transformers,BERT,LSTM,NER,RNN ,Language Modelling,Word2Vec,Text Representation,Topic Modelling as part of Natural Language Processing Built English to French Translation Model using Transformers in Natural Language Processing as part of Business Case Study. Learnt CNN,Transfer Learning,Object Detection & Localisation,Object Segmentation,Siamese Networks,Generative Models as part of Computer Vision Module. Learnt Tableau,SQL,Python Libraries,Probability and Statistics,Hypothesis Testing,Data Visualisation,Product Analytics,,Maths for Machine Learning,Supervised Algorithms,Advanced Supervised Learning Algorithms,Unsupervised Learning Algorithms,Time Series and Recommendation Systems,ML Operations,Neural Networks,Computer Vision,Natural Language Processing Modules . Worked in various domains including BFSI and Health Care like Bank of America,Cigna,Humana,Dupont,TransAmerica,KaiserFoundation Hospitals,Health Care Service Corporation. Created Hive tables to store the processed results in a tabular format. Involved in gathering the requirements, designing, development and testing Writing the script files for processing data and loading to HDFS Writing CLI commands using HDFS. Developed the UNIX shell scripts for creating the reports from Hive data. Completely involved in the requirement analysis phase. Moved all log/text files generated by various products into HDFS location Created External Hive Table on top of parsed data. Implemented Spark using Java and Spark SQL for faster processing of data.