In preparation for Thanksgiving, NCER and NCSER would like to express their gratitude to all the student volunteer interns who are giving their time and talents to help us understand and communicate about education research. In our second blog about these interns, we are highlighting our data science interns. These interns come to us through either the Virtual Student Federal Service program or the Student Volunteer Trainee Program. The interns are working on different data science tasks, such as data visualizations, finding ways to connect publication information from different federal databases to funded NCER and NCSER projects, and helping to understand and improve internal data on research projects. Their primary mentors, Sarah Brasiel (NCSER) and Meredith Larson (NCER), are proud to introduce the team.
I am a senior at William & Mary, pursuing a bachelor’s degree with a double major in data science and psychology. I am a lead researcher at William & Mary's School of Education, focusing on elementary students’ interactions with data. Due to my interest in education research and love of creating data visualizations, the IES data science internship seemed like the perfect fit. I hope this opportunity will give me a glimpse into the inner workings of the research branch of the U.S. Department of Education and help me decide on a future career path.
Fun Fact: I have been to seven concerts this year in six cities, three states, and two countries.
I am pursuing a master’s degree in educational psychology with a concentration in learning analytics through the University of Wisconsin, Madison. I’m looking forward to applying the data science and analysis skills I have learned in my program and learning more about the research goals and initiatives of the Institute of Education Sciences. Previously, I received a Fulbright grant to work with English language learners at a vocational secondary school in Bulgaria for the 2019-20 academic year and worked as a teacher for 2 years in South Africa with the Peace Corps. I have also spent 2 years working in the educational technology industry and hope to continue using data science and analytics to serve K-12 educators and students.
Fun Fact: I play the bassoon!
I am pursuing a master’s degree in the applied statistics program at Columbia University. My prior internships at NASA, the U.S. State Department, and my university were among the experiences that helped me prepare for this internship. My goal is to pursue a PhD in special education studying autism spectrum disorder in academic contexts. I applied for this internship to gain critical data analysis skills and learn about the U.S. Department of Education and IES. I hope this experience will allow me to gain the necessary skills to become a qualified researcher in quantitative studies within special education. Thank you to everyone at IES for this amazing opportunity!
Fun Fact: I have my own nonprofit for Autism advocacy!
I am pursuing a bachelor's degree in economics with minor in data science engineering at University of California, Los Angeles. I have honed my analytical and technical skills in working with SharePoint databases in past internships, which led me to this internship. I will be working with internal data to help the research centers gain more insight into their grants and contracts. I fell in love with data years ago, and now I aspire to become a full-fledged data scientist in the future, applying Python, SQL, and other technical knowledges to do my best. One day, I want to help develop a model that helps people all over the world.
Fun Fact: I recently got into traveling. This winter, I'm planning on taking some cooking classes in Greece!
I am in my final undergraduate year at the University of Texas (UT) at Austin, studying international political economy and data science. I currently work as a research assistant for UT’s Innovations for Peace and Development Lab, researching the connections between government/agency responsiveness and discrimination towards citizens and am using many different packages, analytics, and visualization tools in R to do so. I previously worked under the U.S. Embassy Amman as a data management intern, where I created tutorials, researched best data management practices, and incorporated feedback to improve data collection, management, and distribution. I also used Python and SQL as a data scientist for the V&A Waterfront marketing team in South Africa, using large data sets, advanced querying, and machine learning to develop consumer profiles. Right now, my main goal is to remain sane as I reach the end of my undergraduate experience. I also hope to stay in Austin and enroll in a master’s programs this fall to further hone my programming skills and work at the intersection of data science and government. With my background in economic development and R programming, this internship opportunity was the perfect mix of both and will be an amazing way to improve my programming expertise and see what my future career may look like.
Fun Fact: I studied abroad in Cape Town, South Africa this past summer. I learned a lot about urban economic development during my time there and can’t wait to visit again!