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Vineela Sunkara

@vineelasunkara

Data Scientist at Rutgers University who automated reporting pipelines, cutting preparation time from two weeks to three days.

United States

Message

At Rutgers University, I designed reproducible Python data validation workflows and used R to analyze multi-cohort datasets for academic administrators. I also automated report generation, reducing manual preparation time from two weeks to three days and eliminating transcription errors.

At Avon Technologies, I developed demand forecasting models and automated monthly scoring and retraining. Earlier, as an Application Development Associate at Accenture Pvt Ltd, I built AWS ETL and ELT pipelines and optimized SQL warehouse queries.

Experience

Work history, roles, and key accomplishments

Current

Data Coordinator

Current

Rutgers University

Jun 2025 - Present (1 year 3 months)

Designed reproducible data validation workflows in Python and conducted statistical analysis using R on multi-cohort datasets. Applied NLP techniques with pretrained transformer models and automated report generation pipelines using Git and Python.

Python R NLP Transformers Git Data Validation Statistical Analysis Automation

Data Scientist

Avon Technologies

Apr 2023 - Dec 2023 (8 months)

Developed demand forecasting models in Python using time series techniques and engineered feature sets combining promotional calendars and lagged sales. Built incremental SQL data transformations feeding Power BI dashboards.

Python Time series Forecasting Feature Engineering SQL Power BI regression

Application Development Associate

Accenture Pvt Ltd

Sep 2021 - Mar 2023 (1 year 6 months)

Architected batch ETL and ELT pipelines on AWS using S3, Glue, Lambda, and Redshift. Designed conformed data models and implemented a data quality framework with schema and integrity checks.