Mallipeddi Sahith

Dynamic Data Analyst Intern at Excelr with expertise in Python and MySQL, delivering actionable insights through advanced analytics. Successfully identified high-revenue insurance products and enhanced billing efficiency, showcasing strong analytical and problem-solving skills. Passionate about leveraging data to drive strategic decisions and improve performance metrics.

Financial Dashboard Using PowerBI

The Financial Dashboard provides an interactive view of key business metrics such as profit, sales, units sold, and COGS. Using tools like Power Query and Power Pivot, the data is cleaned, modeled, and visualized for better analysis. The dashboard includes a navigator with sections for Home, Profit, Sales, and COGS to allow easy exploration. It uses KPIs, charts, slicers, and timelines to deliver real-time insights. 

Crop yield prediction using machine learning

 developed a comprehensive dataset of historical crop data, incorporating factors such as state, district, season, area, weather conditions, soil type, and fertilizer usage Employed deep learning algorithms, including LSTM, RNN, and FFNN, to identify the most suitable model for crop yield prediction and optimized hyperparameters for optimal performance. Utilized the trained model to generate accurate crop yield predictions for future seasons based on input parameters like state, district, season, area, and relevant factors.