GOKA VANDANA

• Developed regression model to predict student exam scores based on study hours, enhancing understanding of study impact
• Executed data preprocessing and visualization to prepare dataset for analysis, improving clarity of insights
• Divided dataset into training and testing sets to validate model performance, ensuring reliable predictions
• Applied Linear Regression algorithm

• Developed Python scripts that automated routine tasks, streamlining workflow.

• Worked with data processing and validation to ensure accurate and clean output results.

• Integrated APIs to fetch and update data within applications.

• Wrote reusable and maintainable code following coding standards.

• Collaborated with team members to debug issues and enhance system performance.

• Cleaned and preprocessed text data by removing stopwords, special characters, and noise
• Converted textual data into numerical format using TF-IDF vectorization
• Built a basic Machine Learning model (Naive Bayes) to classify reviews as positive or negative
• Evaluated model performance using accuracy score and visualized sentiment distribution
• Analyzed a large dataset of user reviews to understand customer feedback and sentiment