As a Certified Data Science Intern, I am highly skilled in Machine Learning (ML) and proficient in Python and SQL. My passion lies in applying ML techniques and algorithm development to solve real-world problems. With my education and certification in Data Science, I have successfully completed various educational and certification projects such as Lung Cancer Detection using ML and ANN, Loan Interest Rate Prediction using ML, and Analysis of Supermarket Sales.During my ML Internship at I neuron, I was responsible for developing an adult census income prediction model. To achieve this, I compared different classification models and conducted hyperparameter tuning via gridsearchcv on the best performing one, which was the CatBoost Classifier. I used Jupyter notebook to handle data and the Python language (numpy, pandas, and scikit-learn) to develop the ML model.As a data scientist, I possess a strong understanding of statistical concepts, data structures, and database management systems. I am proficient in using various ML algorithms such as Linear Regression, Decision Tree, Random Forest, and KNN. I have expertise in creating data visualization dashboards using Tableau, PowerBI, and Excel. Additionally, I have a deep understanding of artificial intelligence and its applications in the field of data science.I am a self-motivated individual with exceptional analytical and problem-solving skills. I am passionate about keeping up-to-date with the latest trends in the field of data science and enjoy exploring new technologies. I possess excellent communication and interpersonal skills, enabling me to work effectively in a team environment.Apart from my professional life, I have a keen interest in music, technology, swimming, and cooking. I am a fluent speaker of English, Hindi, and Marathi.Overall, I am confident in my abilities to contribute positively to any data science-related project and am excited to continue developing my skills in this field.