Praveen Kumar Arumalla

Results-driven Software Developer Intern with experience in full stack development and proficiency in SQL and Python. Strong skills in debugging, coding, agile methodologies, and problem-solving enhance project efficiency and collaboration. Proven ability to streamline processes and improve system performance in fast-paced environments.

• Heart Disease Prediction, Developed a machine learning model using Python to predict heart disease based on patient data, incorporating feature engineering and data preprocessing techniques., Utilized libraries like Pandas, NumPy, and Scikit-learn for data analysis, cleaning, and model training., Evaluated model performance with metrics such as accuracy, precision, and recall, achieving an accuracy of 85 percentage., Visualized key insights and model outputs using Matplotlib and Seaborn, enabling stakeholders to understand results.
• Soil Classification and Crop Prediction, Designed a predictive system to classify soil types and recommend optimal crops using Python and machine learning algorithms., Integrated SQL databases to manage large datasets of soil properties and crop yields efficiently., Performed data preprocessing, feature selection, and model training to achieve accurate predictions., Applied data visualization techniques with libraries like Plotly to present soil classifications and crop suggestions interactively., Leveraged domain knowledge and Python scripting to automate data handling and prediction workflows.