About

Sourav Roy is a highly skilled Data Engineer with over 8 years of experience in Python, Data Engineering, Natural Language Processing, Web Scraping, Data Analytics, Rest API Development, and beginner-level working knowledge in Machine Learning. He has proficiency in a wide range of software skills, including programming languages such as Python, Javascript, and beginner-level Scala, Big Data tools like PySpark, Hadoop, Cloudera, Impala, Hive, Kafka, Kafka Streaming, Sqoop, BigQuery, and Airflow, storage formats such as Parquet, Avro, Arrow, and JSON, and Extract, Transform, Load (ETL) applications like StreamSets. Sourav has experience working with different databases like Cassandra, MongoDB, Mysql, SQLite, Redis, and SQL server. He is also skilled in web scraping using Beautiful Soup, Tor Browser, and Fake User-Agent, and has worked with NLP and Machine Learning tools like RASA NLU, NLTK, TextBlob, Spacy, Stanford NLP, Gensim, Pandas, Numpy, Sicpy, Scikit-Learn, Keras, Tensorflow, Spark MLlib, and XGBoost. Apart from his technical expertise, Sourav has experience in web development and Rest API using Django, Falcon, Django REST, Javascript, Nginx, and Supervisor. He also has intermediate-level knowledge in tools like Tableau, S3, Alation, Appian, SharePoint, GitLab, Bitbucket, SVN, AWS, GCP, Digitalocean, Linux, MAC, Windows, Gradle, Jenkins, Postman, Curl, and Swagger, among others. Sourav has received recognition for his work, including awards for "Best Talent as New Joinee" at Freshersworld and a second prize in the "Hackathon" at Mahindra Comviva. He currently works as a Data Engineer at Aon, where he is working on a data lake project to store a large amount of structured, semi-structured data, which will be used to build an Analytics Dashboard in Tableau. In his past roles, Sourav has worked as a Data Engineer at Gamma Analytics, where he built a streaming data pipeline "Skybase" with Spark Streaming and Kafka. He has also worked as a Machine Learning Engineer at Recosense, where he worked on projects like Automated MetaData Generation, Knowledge Graph, Legal Document Processing and Topic Classifier, and Tweet