PETTEMU MEGHANA

Detail-oriented data analyst specializing in exploratory data analysis and statistical modeling. Proven expertise in developing robust machine learning models and creating dashboards that enhance communication and support informed decision-making.

• Solar Power Generation Prediction using Regression (ML)

   – Built a regression-based ML model using 5+ environmental features to predict solar power generation with improved forecasting accuracy.

   – Analyzed 3 major influencing factors including solar position, sky cover, and weather conditions using correlation and feature importance techniques.

   – Evaluated and compared 4 regression algorithms using error metrics to optimize prediction performance.

• Global Development Measurement using Clustering

– Processed 190+ country-level records with 10+ socio-economic indicators to identify development patterns.

– Applied and compared 3 clustering algorithms to determine optimal country groupings.

– Deployed the final clustering solution using 2 frameworks (Streamlit and Flask) for interactive analysis