Experience
Langan
Parsippany NJ
January 2021 - May 2021
Data Scientist Intern
- Implemented machine-learning algorithms using Python to identify record linkage, extract data patterns based on ArcGIS geo analysis, and scrape, clean, and analyze this data for efficient stormwater billing in San Francisco city.
- Constructed data flows to automate data transformations thereby reducing manual work by 40%.
- Improved query performance for large datasets and assisted in the design and development of various data models.
Technology Stack: Python, SQL, Power Automate, ArcGIS, Azure DevOps, SQL Server, Git
- Implemented machine-learning algorithms using Python to identify record linkage, extract data patterns based on ArcGIS geo analysis, and scrape, clean, and analyze this data for efficient stormwater billing in San Francisco city.
- Constructed data flows to automate data transformations thereby reducing manual work by 40%.
- Improved query performance for large datasets and assisted in the design and development of various data models.
Technology Stack: Python, SQL, Power Automate, ArcGIS, Azure DevOps, SQL Server, Git
NextGen Healthcare
Fairport NY
January 2020 - August 2020
Jr. Software Developer Intern
NextGen R&D
- Developed healthcare metrics by creating SQL procedures, performed data management between S3 and Redshift clusters and followed an Agile SDLC methodology throughout metric development.
- Executed Python scripts to evaluate metric changes for all tenants and ran aggregations and distributions using SQS.
- Optimized existing metrics as per metric blueprints and achieved overall performance improvement by 20%.
- Debugged data issues from back-end to front-end and deployed changes to UI.
Technology Stack: SQL, Python, Java, AWS S3, AWS Redshift, AWS SQS, PostgreSQL, Git, Bitbucket, Jira, Confluence.
NextGen R&D
- Developed healthcare metrics by creating SQL procedures, performed data management between S3 and Redshift clusters and followed an Agile SDLC methodology throughout metric development.
- Executed Python scripts to evaluate metric changes for all tenants and ran aggregations and distributions using SQS.
- Optimized existing metrics as per metric blueprints and achieved overall performance improvement by 20%.
- Debugged data issues from back-end to front-end and deployed changes to UI.
Technology Stack: SQL, Python, Java, AWS S3, AWS Redshift, AWS SQS, PostgreSQL, Git, Bitbucket, Jira, Confluence.
Rochester Institute of Technology
Rochester NY