As a Data Scientist Intern at Rubixe, I have been involved in one real-time client project and four capstone projects, applying my skills in machine learning, NLP, SQL, and data visualization to deliver data-driven solutions. In the client project, I worked with ABC Tech, an IT-enabled business organization, to query data from a MySQL database and build a machine learning model for IT service management. In the capstone projects, I tackled various challenges such as predicting automobile import prices, optimizing bank marketing strategies, and analyzing customer sentiment. I used libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, Matplotlib, and Seaborn to preprocess, analyze, and visualize data, and evaluated my models using metrics such as accuracy, precision, recall, F1-score, and ROC AUC. I have a Bachelor of Engineering in Electronics and Communication Engineering from Anna University, and a Certified Data Scientist certification from DataMites. I am proficient in Python, R, and SQL, and have a strong foundation in statistical methods and techniques. I am also familiar with version control systems like Git, and have domain knowledge of the IT, automobile, and banking sectors. I am passionate about data science and its applications in various industries and domains. I am motivated by the opportunity to learn new skills and technologies, and to collaborate with other data professionals and stakeholders. My goal is to pursue a career as a data scientist and contribute to the advancement and innovation of data science.