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5032-PRIYADHARSHINI A-IT UserPU
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5032-PRIYADHARSHINI A-IT User

@5032-priyadharshinia

Full-stack developer who built e-commerce applications and Python machine learning models with 88% prediction accuracy.

India
Message

As a Freelance Full-Stack Developer, I developed and deployed custom websites and commercial e-commerce applications for clients. I also built digital marketing automation tools, including automated email dispatch systems and video statistics tracking modules.

At Roku info tech Company, I optimized SQL queries for product and ad campaign deployment, contributing to a 9% increase in campaign ROI. I also implemented predictive modeling and data segmentation algorithms in backend logic.

My projects include a Python fake news detection model with 88% validated prediction accuracy and a brain tumor detection CNN that reached 90% accuracy. At Edubridge Company, I analyzed dataset architectures for commercial brands and designed Excel-based inventory assessment tools.

Experience

Work history, roles, and key accomplishments

EC

Technical Associate & Data Analyst Consultant

Edubridge Company

Nov 2024 - Feb 2025 (3 months)

Analyzed complex dataset architectures for over 50 prominent commercial brands, building structural data insights that helped scale GMV by 35 CR. Designed and deployed analytical tools utilizing advanced Excel functions to optimize stock management systems, boosting revenue by 12%.

SE

Freelance Full-Stack Developer

Self Employed

Aug 2020 - Sep 2024 (4 years 1 month)

Architected, developed, and deployed custom end-to-end websites and commercial e-commerce applications for diverse clients. Built custom digital marketing automation tools including automated email dispatch systems and video statistics tracking modules.

RC

Full Stack Developer Intern

Roku Info Tech Company

Jul 2023 - Dec 2023 (5 months)

Engineered and optimized relational database queries using SQL and Excel to manage product and ad campaign deployment, increasing campaign ROI by 9%. Implemented predictive modeling and data segmentation algorithms into backend logic to enhance audience targeting precision.

Education

Degrees, certifications, and relevant coursework

LT

Loyola Institute of Technology

B.Tech, Information Technology

Grade: CGPA: 8.9

Pursued a B.Tech in Information Technology with a CGPA of 8.9.

GS

Government Girls Higher Secondary School

Higher Secondary Leaving Certificate (HSLC), Computer Science and Maths

Grade: 70%

Completed Higher Secondary Leaving Certificate (HSLC) in Computer Science and Maths with 70%.

GS

Government Girls Higher Secondary School

Secondary School Leaving Certificate (SSLC), Computer Science

Grade: 80%

Completed Secondary School Leaving Certificate (SSLC) in Computer Science with 80%.

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