Sanjaykanth Chandran

I’m Sanjaykanth Chandran, a final-year Information Technology student at Government College of Engineering, Erode (IRTT). I’m a Data Analytics enthusiast passionate about transforming raw data into meaningful insights using tools like Power BI, Data Squirrel, Excel, SQL, and Python.

I love experimenting with data-driven projects and have built applications across analytics, AI/ML, DevOps, and app development — including projects like Heart Disease Prediction (Streamlit), Eco-Friendly Transport Analysis, and a Flutter-based Quiz App for Placement Preparation.

I enjoy learning new technologies, exploring visualization techniques, and delivering impactful solutions that contribute to business intelligence and decision-making. My goal is to keep growing in the analytics field and help bridge the gap between data and actionable insight.

I have hands-on experience across Data Analytics, Machine Learning, DevOps, and App Development. My work focuses on building data-driven solutions, automating workflows, and developing user-friendly applications.

Data Analytics & Visualization: Skilled in using Power BI, Excel, SQL, and Python to clean, analyze, and visualize data for actionable insights.

Machine Learning: Developed predictive models such as Heart Disease Prediction and Eco-Friendly Transport Analysis, using Python libraries and Streamlit for deployment.

DevOps: Experienced with CI/CD pipelines using Jenkins, Azure DevOps, and automation tools like Ansible, with build tools Maven and Gradle.

App Development: Built multiple Flutter apps including a Quiz App for Placement Preparation, To-Do App with Voice Input, and a WhatsApp clone, integrating interactive UI and logical workflows.

I combine technical knowledge with creativity to deliver efficient, real-world solutions that enhance productivity and insight generation.

Bachelor of Technology (B.Tech.) in Information Technology
Government College of Engineering, Erode (IRTT) — 2022–2026

Currently in my final year, specializing in Data Analytics and related technologies. My coursework and projects focus on data analysis, machine learning, cloud computing, and software development. I’ve applied these skills through practical projects in data visualization, AI/ML model deployment, and DevOps automation, bridging academic learning with real-world applications.