Dhinakaran R

About

Computer Science & Engineering student at Anna University Regional Campus, Madurai, with hands-on experience in data analysis, machine learning, and monitoring dashboards. Built academic projects using Python, Pandas, Scikit-learn, Grafana, Prometheus, and Power BI-style dashboarding.

Experience

• Intern
  TamilNaduElectricityBoard (TNEB)
  Jun 2026 – 2026

Education

• HSC (12th Grade)
  Vivekananda Silver Jubilee Matric H.S. School
  2024 – 2024
• SSLC (10th Grade)
  Vivekananda Silver Jubilee Matric H.S. School
  2022 – 2022
• B.E. Computer Science & Engineering
  Anna University Regional Campus, Madurai
  Computer Science & Engineering · 2026

Skills

• SQL
• Data Visualization
• GitHub
• Python
• Jupyter Notebook
• Machine Learning
• VS Code
• Java
• Data Cleaning
• Matplotlib
• NumPy
• Pandas
• Grafana
• Excel
• Statistical Analysis
• Prometheus
• Node Exporter
• Data Filtering

Projects

• Smart Energy Management System ↗
  Python, Pandas, Scikit-learn, Power BI

  Designed a 3-page interactive dashboard using dummy synthetic data modeled on TNEB energy consumption patterns to visualize usage trends and anomalies. Built a machine learning model using Random Forest to predict potential energy theft cases based on consumption behaviour patterns. Combined dashboarding and predictive analytics to support data-driven decision-making for energy distribution monitoring.

• PlasticPerception Using Logistic Regression
  Python, Pandas, Scikit-learn, Matplotlib

  Built a binary classification model using Logistic Regression to predict plastic type based on physical and chemical properties, achieving over 85% accuracy on test data. Performed end-to-end data pipeline: data cleaning, feature engineering, and exploratory data analysis using Pandas and Matplotlib to uncover patterns. Visualized decision boundaries and model performance metrics to communicate findings effectively.

🗣️ Languages

• Tamil · Fluent
• English · Fluent

⚽ Extracurricular activities

• Technical Club Member

  Active member of the college technical club, participating in workshops and seminars on data analytics, machine learning, and emerging technologies.