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Hi, I’m Dilany Josphine, a Computer Science and Engineering student at Arunachala College of Engineering for Women. I enjoy turning ideas into functional web apps and data-driven insights, especially in the MERN stack and health analytics. I thrive in collaborative environments and love turning complex problems into practical solutions. I’m passionate about building end-to-end software and applying ML techniques to real-world problems, from health data forecasting to e-commerce experiences. I’m always eager to learn new tools, improve my craft, and contribute to dynamic teams.…Hi, I’m Dilany Josphine, a Computer Science and Engineering student at Arunachala College of Engineering for Women. I enjoy turning ideas into functional web apps and data-driven insights, especially in the MERN stack and health analytics. I thrive in collaborative environments and love turning complex problems into practical solutions. I’m passionate about building end-to-end software and applying ML techniques to real-world problems, from health data forecasting to e-commerce experiences. I’m always eager to learn new tools, improve my craft, and contribute to dynamic teams.

Dilany Josphine T

Front-End Developer, Back-End Developer, Full Stack Developer, +2

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Hi, I’m Dilany Josphine, a Computer Science and Engineering student at Arunachala College of Engineering for Women. I enjoy turning ideas into functional web apps and data-driven insights, especially in the MERN stack and health analytics. I thrive in collaborative environments and love turning complex problems into practical solutions. I’m passionate about building end-to-end software and applying ML techniques to real-world problems, from health data forecasting to e-commerce experiences. I’m always eager to learn new tools, improve my craft, and contribute to dynamic teams.…Hi, I’m Dilany Josphine, a Computer Science and Engineering student at Arunachala College of Engineering for Women. I enjoy turning ideas into functional web apps and data-driven insights, especially in the MERN stack and health analytics. I thrive in collaborative environments and love turning complex problems into practical solutions. I’m passionate about building end-to-end software and applying ML techniques to real-world problems, from health data forecasting to e-commerce experiences. I’m always eager to learn new tools, improve my craft, and contribute to dynamic teams.

Available to hire

Hi, I’m Dilany Josphine, a Computer Science and Engineering student at Arunachala College of Engineering for Women. I enjoy turning ideas into functional web apps and data-driven insights, especially in the MERN stack and health analytics. I thrive in collaborative environments and love turning complex problems into practical solutions.

I’m passionate about building end-to-end software and applying ML techniques to real-world problems, from health data forecasting to e-commerce experiences. I’m always eager to learn new tools, improve my craft, and contribute to dynamic teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Data Science Intern at Techvolt Software Private Limited

July 1, 2024 - August 1, 2024

Explored data processing and visualization techniques using Python; implemented beginner ML models to enhance analytics. Engineered an AI-powered stroke-prediction model using LSTM networks and transfer learning, achieving 12-15% improvement in prediction accuracy over traditional models. Automated temporal-pattern analysis from patient health data, enhancing early diagnosis capability. Developed a fully responsive mobile-first e-commerce website supporting order placement, product browsing, and inquiry management, leading to a 30% increase in real-time order interactions. Implemented reusable React components and RESTful APIs for real-time order tracking and notifications.

Data Science Intern at Techvolt Software Private Limited

March 1, 2025 - May 1, 2025

Continued work on data processing, modeling and visualization for health datasets; applied ML techniques to forecast outcomes and improve analytics. Contributed to end-to-end data pipelines and collaborative projects.