Sahana K N

Results-driven Data Scientist Intern at TechCiti Software Consulting, skilled in machine learning and Python programming. Developed a deep learning surveillance system achieving 92% accuracy in detecting unauthorized presence. Proficient in data analysis and visualization, leveraging strong analytical skills to enhance data-driven decision-making processes.

Student Marks Prediction using Machine Learning Vehicle Insurance Prediction

• Developed a machine learning model to predict students' marks based on study hours and other parameters.
• Performed Exploratory Data Analysis (EDA) and applied feature engineering for data preprocessing and improvement of model accuracy.
• Trained and evaluated multiple regression models to identify the best-performing algorithm.
• Deployed the final model on AWS Cloud for real-time prediction and scalability.

• Developed a predictive model to determine whether a customer is likely to purchase vehicle insurance.
• Conducted Exploratory Data Analysis (EDA) to understand data patterns and correlations.
• Applied feature engineering and handled categorical variables using encoding techniques.
• Trained and evaluated classification model Random Forest to achieve 88% accuracy.
• Visualized model performance using confusion matrix and ROC curve for better interpretability.

Cisco certified Data analytics essentials