Linh Pham
About Linh Pham
Linh Pham is an Incoming Data Science Research Intern at CableLabs, with a background in data analysis and statistical sciences. She holds a Bachelor of Arts in Statistical and Data Sciences from Smith College and has experience in programming, data visualization, and conducting A/B testing.
Work at CableLabs
Linh Pham is currently serving as an Incoming Data Science Research Intern at CableLabs, a position she has held since 2023. In this role, she engages in data science projects that contribute to the organization's research initiatives. CableLabs is known for its focus on innovation in broadband technology and data analytics, providing Linh with opportunities to apply her skills in a practical setting.
Education and Expertise
Linh Pham is pursuing a Bachelor of Arts in Statistical and Data Sciences at Smith College, where she has been studying since 2021 and is expected to graduate in 2024. Her education has equipped her with a strong foundation in data analysis and statistics. She is proficient in programming languages such as R and Python, and she has expertise in Bayesian Statistics, which enhances her analytical capabilities.
Background in Data Analysis
Before her current role, Linh gained practical experience as a Data Analyst Intern at the National Hospital of Pediatrics in 2022, where she worked for three months. Additionally, she served as an Undergraduate Research Assistant at Smith College from 2022 to 2023 for eight months, contributing to various research projects. Her background includes skills in data visualization using Tableau and conducting A/B Testing to derive business insights.
Previous Experience in Social Media and Research
In 2022, Linh worked as a Social Media Assistant at Smith College for one month, where she likely contributed to the college's online presence and engagement strategies. This role complemented her analytical skills by providing insights into audience behavior and engagement metrics. Her diverse experiences in both social media and research have enriched her understanding of data in various contexts.