Dear readers,

After completing my post-graduate program in data science and business analytics, I am excited to share my new interests with different social good organizations. I wish to share and expand my interests in exploratory data analysis, visualization creation, and machine learning with you.

With experience in Python, I create models that address classification and regression problems. In addition to these supervised techniques, I can also employ unsupervised learning techniques such as k-means and hierarchical clustering methods. With these tools, I have worked on the below projects:

• Built a linear regression model to predict the price of a used phone and identify factors that impact the price of used cellular phones
• Built a logistic regression model to predict if a guest at a hotel will cancel their reservation or not
• Used ensemble methods to develop a model that would predict the denial of a visa application

In addition to my experience in data science, I hold a master's degree in business and a bachelor's degree in economics from Texas A&M University. Apart from my academic background, I seek to engage with the data science community through volunteer work. Through volunteering, I could gain practical experience with actual data and problems and help others simultaneously. Expanding my foundation in data science is my primary goal in volunteering.