Shreyas Nanaware Email & Phone Number

Adelaide, Sa, Au

Adelaide, South Australia, Australia

Adelaide, South Australia, Australia

• Monitor, test, and debug data pipelines to ensure accuracy, consistency, and quality compliance. Optimize data engineering processes for performance, scalability, and reliability using monitoring tools.• Designed and developed data pipelines and ETL workflows using technologies such as Apache Spark and Python. Improved data quality and consistency by writing Python and SQL code for data processing tasks, following industry best practices. Automated data validation checks, which improved data quality, reduced data quality error rates and reduced overall data processing time.• Create and manage technical documentation for business requirements, data pipelines, and operational procedures. Collaborate with cross-functional teams to propose data architecture designs that meet security and compliance needs.• Provide expertise in developing proposals and strategies for data engineering activities. Stay updated with advancements in data engineering technologies, tools, and methodologies to enhance capabilities.

• Utilised and integrated HTTPS RESTful API endpoints with ASP.NET Core to support web application functionality.• Applied database migrations to the backend using C#, which decoupled the database from the code, making code changes less dependent on the database and improving overall development speed.• Implemented a service using Cloud Pub/Sub, which allows the service to be more scalable and achieved better performance.• Automated the parsing of a client website to produce a list of relevant webpages. Parsed webpages using Beautiful Soup and Python and improved time efficiency by 80%.• Improved the company’s emailing system by integrating NLP/ML models within the backend architecture.

Greater Sydney Area

• Processed and cleaned 40% of data for analysis by using Python libraries such as pandas, NumPy, and regex.• Data extraction via web crawling using Python and Selenium WebDriver to create a NLP model, improving the overall quality of the data used for the NLP model for scoring profiles.• Natural Language Processing using NLTK to improve the accuracy of a sentiment analyzer.• Used Azure Cognitive Services API and OpenCV to identify and calculate the percentage of a person's face covered by a mask.

Master Of Data Science

Activities and Societies: Macquarie Association of Computing Students I actively practiced competitive programming, sharpening my data.

Bachelor Of Engineering, Computer Engineering

Activities and Societies: • Second place in Table Tennis Tournament • Head of Chess Tournament • Co-head of Coding Contest