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Preksha AgarwalPA
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Preksha Agarwal

@prekshaagarwal

Computer Science student building AI/ML applications, including a banking churn prediction app with a 0.92 AUC-ROC score.

India
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I built CCP, a banking customer churn prediction web application using a Stacking Ensemble of Random Forest, XGBoost, and Logistic Regression. With SMOTE for class balancing, the model achieved an AUC-ROC score of 0.92.

For GzMPDD, I developed a YOLOv8n plant disease detection system using background removal and a dual-dataset training approach. I worked across dataset preparation, preprocessing, training, and evaluation, and the work is being prepared for publication.

I also contributed to a low-light object detection pipeline combining Pix2Pix image enhancement with YOLOv8. My work included dataset annotation, model training, pipeline design, and evaluation as part of a group project.

At Dahlia Technologies Pvt. Ltd., I developed and maintained web application components using PHP, supporting feature implementation, testing, debugging, and refinement. At Plasser India Pvt. Ltd., I explored enterprise workflows, ERP processes, SAP fundamentals, and information security practices.

Experience

Work history, roles, and key accomplishments

PL

IT Intern

Plasser India Pvt. Ltd.

May 2026 - Jul 2026 (2 months)

Worked with industry mentors to understand ISMS, ERP workflows, and SAP fundamentals within enterprise operational processes. Analyzed organizational workflows and system processes to understand how technology supports operational and business requirements.

DL

Software Development Intern

Dahlia Technologies Pvt. Ltd.

Aug 2025 - Oct 2025 (2 months)

Developed and maintained web application components using PHP, contributing to feature implementation and application testing. Worked through application issues and implementation tasks, gaining practical experience with backend development and software development workflows.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

B.Tech., Computer Science

2023 -

Grade: 8.10/10

Pursuing a B.Tech. in Computer Science with a CGPA of 8.10/10, ongoing since 2023.

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