Data Science Intern with experience in utilizing machine learning and deep learning libraries (scikit-learn, TensorFlow) to develop predictive models. Collaborated with a team to design and implement an ETL pipeline using Python and Pandas. Contributed to a data visualization project, creating informative plots with Matplotlib.
Machine Learning- Emotion detection using CNN - Pioneered emotion detection using CNNs, leveraging diverse datasets to train and refine the model. Employed cutting-edge techniques in facial expression analysis, contributing to the project's success. Mastered data pre-processing and model optimization, showcasing proficiency in advanced machine learning for real-world applications.
Data Science and Analytics Projects - Advanced Data Analysis and Customer Retention Project: Led a data-driven initiative to reduce customer churn, employing predictive analytics and machine learning algorithms. Successfully lowered churn by 15% through strategic insights derived from extensive analysis of a dataset comprising 10,000+ records.