Thorough and competent data enthusiast currently majoring in Data Science at UMBC. As a former Risk Analyst, I have worked with e-commerce data to build data-driven solutions and effectively communicated business needs with Stakeholders at Amazon Development Center. Over time, I have leveraged my interest in Machine Learning through simple projects and progressed to building complex predictive models. My forte lies in harnessing machine learning algorithms to extract meaningful patterns from complex datasets and transforming raw data into valuable insights. I excel in data preprocessing, visualization, and reporting. I am actively looking for Full-time Opportunities in the field of Data Science. Skillset: Programming: Python (Pandas, NumPy, sci-kit learn, Pytorch, TensorFlow), SQL Agile Methodologies: Scrum, Kanban Framework: Flask Visualization: Power BI, MS Excel Version Control: Git,Bitbucket Data Science and ML expertise: Data Analysis and Preparation: Data Wrangling, Exploratory Data Analysis, Feature Engineering Machine Learning and Modeling: Principal Component Analysis (PCA), Regression and Classification, Clustering, Neural Networks