Dynamic Software Engineer with a proven track record at QBurst, specializing in designing scalable databases and developing efficient APIs using Django Rest Framework. Proficient in AWS services and data analysis with Pandas, I excel in problem-solving and leveraging NLP techniques for impactful text analysis.
CV Verifier, NLP, spaCy, SQLite, Django-Rest-Framework, Streamlit, Google OAuth2.0, An internal tool to verify the basic CV formats, using the concepts of Rule Engine and NLP. The tool will scan the Google Doc using Google Drive APIs, run the rules against it, and add the suggestions and corrections as comments to the document. Based on the training, the tool should be able to suggest new rules in future., https://doc-verifier.qburst.com/ BCC data pipeline, Performed various ETL tasks. Extracted data from various sources including data streams using Apache Kafka and created various data pipelines according to requirements of client using PySpark, AWS, HDFS to transform and load the data and automated them using Apache Airflow.