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Adhyan KalraAK
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Adhyan Kalra

@adhyankalra

Entry-level data analyst and software engineer focused on analytics, IoT, and AI evaluation.

India
Message

What I'm looking for

I want to apply my data analysis and software engineering skills to build dashboards and reliable applications, while contributing to AI evaluation and IoT/embedded projects—learning modern enterprise practices in a collaborative, impact-driven team.

I’m a B.Tech student in Electrical & Electronics Engineering building strong capability across data analytics, software engineering, and hands-on IoT/embedded development. I bring a practical, problem-solving mindset—translating messy data and requirements into working dashboards, web flows, and validated outputs.

In my Data Analyst Intern role at Nestlé India, I analyzed operational datasets with Power BI and Microsoft Excel to spot trends and improve reporting efficiency. I also built dashboards to support business decision-making, strengthening my approach to clarity, accuracy, and actionable insights.

Alongside analytics, I develop software and systems: I’ve worked on REST/API development, response validation workflows, and web application components. Through projects like the LLM Response Validation Platform (ForAmaze) and healthcare discovery, I focus on reliable user flows, debugging, and maintainable backend/frontend logic.

I also contribute to AI evaluation by assessing AI-generated outputs for quality and correctness, including prompt evaluation and response validation. With embedded work—Verilog HDL, ESP32, Arduino, and RISC-V processor design—I aim to build scalable solutions that blend engineering rigor with real-world usefulness.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

BI

Bharati Vidyapeeth College of Engineering (IPU)

Bachelor of Technology (B.Tech), Electrical & Electronics Engineering

B.Tech student in Electrical & Electronics Engineering with hands-on experience in software engineering and projects involving IoT, embedded systems, and data analytics.

Tech stack

Software and tools used professionally

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