Hi there! I’m a recent Master’s graduate in Data Science from Rowan University, eager to embark on a career in data analysis. My academic journey has been marked by hands-on projects and deep dives into data analytics, where I developed a passion for turning raw data into actionable insights.One of my standout experiences involved building interactive visualizations with Tableau. I designed dashboards that provided real-time insights into key performance metrics, allowing users to explore data trends dynamically. These visualizations helped decisions by highlighting patterns and anomalies with clear, intuitive graphics.In terms of data processing, I employed a variety of techniques to ensure data quality and usability. I used Python libraries like Pandas for data cleaning and transformation, addressing missing values and outliers to prepare datasets for analysis. I also implemented advanced data wrangling methods, such as feature engineering and normalization, which significantly enhanced the performance of machine learning models. For example, in a project predicting heart failure, these techniques contributed to achieving an 85% accuracy rate with Random Forest.Additionally, my work with cloud platforms like Databricks and Snowflake allowed me to handle large volumes of data efficiently. I leveraged these tools to streamline ETL data pipelines, automate workflows, and perform complex queries, enabling faster and more accurate analysis.As I start my professional journey, I’m excited to bring my skills in data visualization and processing to a team where I can make a tangible impact. I look forward to connecting and exploring how my background and enthusiasm for data can contribute to your organization’s success!