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I am a graduate student at Duke University currently studying for a Master's degree in Data Science. 👩‍🎓

I am a data enthusiast, and I can make data tell stories! Since my childhood, I have been somewhat of an investigator 🕵️‍♀️ (thanks to all the Sherlock Holmes stories), and being a Data Scientist allows me to be one. Working with data adds a certain sense of empowerment as I can innovate and identify trends, patterns, and outliers. This field of work also allows collaborating with individuals with diverse backgrounds. Everyone has something interesting to bring to the table!

• Programming: Python (pandas, NumPy, Scikit-learn), R, SQL
• Machine Learning: Linear Regression, Logistic Regression, Decision Tree, SVM, Naïve Bayes, KNN, K-Means, Random Forest, PCA, Gradient Boosting Algorithms
• Deep Learning: Neural Network, Convolutional Neural Network (TensorFlow2, Keras), Natural Language Processing (NLTK)
• Data Visualization Tools: Matplotlib, Seaborn, PowerBI, Tableau
• Cloud: AWS Sagemaker, AWS S3
• Web Development Tools: HTML, CSS, JavaScript
• MS Office Tools: Excel, Word, PowerPoint

• Personal Website
• Medium Blog