Dhanush Balaji

Applied Artificial Neural Networks (ANNs) to forecast trends in renewable energy adoption and electric vehicle growth, using historical and time-series data for better policy planning and insights. Visualized key patterns with Matplotlib and Seaborn to guide feature selection and improve interpretability. Developed a time-series forecasting model in Python with Scikit-learn, processing 50,000+ data points and achieving a Mean Absolute Percentage Error (MAPE) of 4%.

AI/ML Intern at Osmania Technology Business Incubator, Osmania University (2025-05 – 2025-06)

• Applied Artificial Neural Networks (ANNs) to forecast trends in renewable energy adoption and electric vehicle growth, using historical and time-series data for better policy planning and insights.
• Visualized key patterns with Matplotlib and Seaborn to guide feature selection and improve interpretability.
• Developed a time-series forecasting model in Python with Scikit-learn, processing 50,000+ data points and achieving a Mean Absolute Percentage Error (MAPE) of 4%.

B.E in Computer Science and Engineering (Data Science) – MVSR Engineering College, Hyderabad (2022 – 2026)

Math, Physics, Chemistry – Narayana Junior College, Hyderabad (2020 – 2022)