Deivanai M.

I am a Computer Science Engineering graduate with a strong foundation in programming, data structures, and problem-solving. My primary programming language is Java, and I have been actively practicing Data Structures and Algorithms to strengthen my logical thinking and coding skills.

I also have hands-on experience in Python for data analysis and machine learning, including Exploratory Data Analysis (EDA), data visualization, and building intelligent applications. During my internship at Virtusa as a Project Intern (Team Lead), I worked on a project titled “Conversational AI Analytics in the Telecommunication Sector,” where I developed a Python-based full-stack web application using Flask, integrated an AI chatbot, and built analytical dashboards to derive business insights from data.

Additionally, I have worked on projects such as a sales analytics dashboard using Streamlit and a machine learning model for predicting smoking behavior using neural networks. These projects strengthened my skills in data processing, visualization, and real-world problem solving.

Alongside my technical skills, I have experience in academic and technical writing and have supported peers and juniors in understanding programming concepts, debugging code, and completing projects.

I am detail-oriented, quick to learn, and committed to delivering high-quality work in coding, data analysis, and technical documentation.