Used data to evaluate student progress and inform instructional decisions
Utilized Python for data analysis to gain insights into student progress and used tools for statistical analysis, data visualization, and machine learning
Used data to identify and address student learning gaps, resulting in improved student achievement.
Produced monthly reports using advanced Excel spreadsheet functions.
Identified, analyzed and interpreted trends or patterns in complex data sets.
Assistant Archivist
Marist Archives
09.2021 - 08.2022
Contributed to team in writing, testing, and automating data in Past Perfect app
Assisted in arranging, cataloging, and indexing archival materials, following established guidelines and procedures
Worked with digitization projects, including scanning documents, creating metadata, or managing digital assets
Helped in maintaining digital archives and databases, ensuring proper organization and accessibility of digital materials.
Researched and recorded origins, provenance and historical significance of archival materials.
Developed classification systems to facilitate public access to archived materials.
Software Tester
Accenture Software Solutions
03.2020 - 08.2021
Developed and executed test plans, test cases, and scripts using Python, Java, and JavaScript to ensure comprehensive test coverage for assigned projects within tight timelines
Adapted to agile development environment, actively participating in daily stand-up meetings, sprint planning sessions, and retrospectives
Utilized tools and frameworks like Selenium, Spring Boot, Docker, and Kubernetes
Collaborated on web development using HTML, CSS, and JavaScript
Familiar with version control systems like Git for collaborative development
Worked with databases like MySQL, performing SQL queries for testing and data validation
Machine learning - Women Safety Application Implementing CNN network
Collaborated with QA team to test software quality through manual and automated testing.
Carried out tests to identify, report and repair bugs and glitches.
Academic Project - Machine Learning
Jhub
01.2019 - 05.2019
Designed and Developed App called "Kasam" a user-friendly front-end interface using HTML, CSS, and
JavaScript, allowing users to interact with the system and upload audio files and integrated CNN model into backend, training it on preprocessed Mel-spectrograms to accurately predict genre labels of uploaded audio files.
Education
Master of Science - Information Systems
Marist College
Poughkeepsie, NY
05.2023
Skills
Languages:
Python, Java, HTML, CSS, JavaScript, C
Cloud Platforms: AWS (EC2, S3), Azure (Azure Data Studio)
Administrative Assistant, Center for Multicultural Affairs at Marist CollegeAdministrative Assistant, Center for Multicultural Affairs at Marist College