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Pranav DandgePD
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Pranav Dandge

@pranavdandge

Android (Kotlin) and Python developer focused on machine learning and scalable real-world digital solutions.

India
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What I'm looking for

I’m looking for an entry-level role where I can build Android features while applying Python and machine learning to real-world problems. I want a team that values problem-solving, data-driven decisions, and learning by shipping impactful projects.

I’m a results-driven Android Developer (Kotlin) and Python Developer currently pursuing a B.Tech in Computer Science (Cybersecurity & Digital Forensics). I’m passionate about building scalable, real-world digital solutions and enjoy turning complex problems into practical features.

Through projects, I’ve developed AI and data-driven systems such as “SwasthyaJal AI” (smart water monitoring with contamination detection), “Shipment Sure” (machine learning to predict on-time shipment delivery), and “ChainGuard AI” (AI-based fraud detection for fake or tampered receipts). I also built “NaviSense,” a smart navigation platform using APIs for real-time traffic and carpooling integration.

In my Infosys Springboard Virtual Internship, I developed a machine learning model to predict on-time shipment delivery, performing data preprocessing, feature engineering, and model evaluation to improve accuracy. I also completed a Red Users Cybersecurity Internship where I gained hands-on experience in network security, firewall configuration, and traffic analysis using Wireshark.

I’ve demonstrated strong problem-solving by winning the SOLVIT Hackathon, and I keep growing through certifications like Oracle Cloud Infrastructure 2025 – AI Foundations Associate and an Android Development Workshop Certificate from Techfest IIT Bombay. As a Core Team Member (Technical) and Student Coordinator for iCreate, I contribute to workshops and collaborative development initiatives.

Experience

Work history, roles, and key accomplishments

IS

Artificial Intelligence Intern

Infosys Springboard

Dec 2025 - Jan 2026 (1 month)

Built a machine learning model to predict on-time shipment delivery using logistics data. Performed data preprocessing, feature engineering, and model evaluation, and used exploratory data analysis to identify key factors affecting delivery performance.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

B.Tech, Computer Science (Cybersecurity & Digital Forensics)

2024 -

Pursuing a B.Tech in Computer Science with a specialization in Cybersecurity & Digital Forensics.

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