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Shreya Karunakar Shetty

Aspiring Data Professional

Based in New York, United States

About

I am a graduate student from State University of New York at Binghamton with a Masters in Information Systems focusing on Data Science. I am passionate about uncovering insights from large volumes of data.

Skills

Projects

Experience

January 2021 - July 2023

Software Engineer- II @ Accenture

Developed and hardened RESTful APIs (Python, Django, PostgreSQL) with built‑in access controls and data validation, reducing risk of data inconsistencies by 40% Delivered cloud-native solutions on AWS (S3, CloudWatch, SQS) with encryption-at-rest and monitoring alerts, boosting system resilience and ensuring secure data handling Refactored monolithic services into microservices, implementing service-level controls, automated health checks, and reducing incident response times by 40% Configured CI/CD pipelines (Jenkins, GitHub, Docker) with automated compliance scans and rollback procedures, increasing deployment efficiency 20% while maintaining audit‑grade traceability Led 50+ peer code reviews focused on secure coding standards and mentored junior engineers on best practices for

January 2025-present

Full Stack Software Engineering Intern @ Boehringer Ingelheim

Automated scientific‑reporting pipelines, enhancing data integrity and compliance‑readiness by cutting manual effort 80% and accelerating report cycles 5× Implemented an ML‑driven CDR‑scanning solution (ESM models), improving accuracy of critical research data by 30% and supporting audit‑ready record generation Engineered 3+ full-stack applications (React, Django, PostgreSQL), embedding secure data controls and validation checks to ensure end-to-end traceability in drug-development workflows Designed CI/CD pipelines with Jenkins & Bitbucket on RedHat OpenShift, establishing automated versioning, audit logs, and quality gates for continuous delivery of compliant software releases

August 2019 - July 2020

Software Engineering Intern @ Pecon Pest Control

Built REST APIs with Python & PostgreSQL, integrating BI tools to deliver real‑time business visualization metrics Developed ETL pipelines centralizing 50K+ records with schema validation and error handling, reducing report generation time by 30% while improving data accuracy

Education

August 2023-May 2025

Masters in Information Systems - SUNY Binghamton

Graduate student at SUNY Binghamton pursuing Masters in Information Systems focusing on Data Science. Relevant Coursework: Python & Data Mining, Tools for Data Science, Database Systems, Applied Machine Learning, Web Based Information Retrieval and Search

2016-2020

Bachelors in Computer Engineering

I completed my undergraduate degree in Computer Engineering from Mumbai University with a GPA of 3.60. Relevant Coursework: Big Data, Artificial Intelligence and Soft Computing, Natural Language Processing, Analysis of Algorithm, Data Structures, Software Engineering, Discrete Mathematics, Applied Mathematics