As a data scientist with over six years of experience in statistical analysis and machine learning, I enjoy applying my skills to solve real-world problems and create value for users and stakeholders. My mission is to leverage data to enhance social, gaming, and VR experiences, as well as to empower students to become successful data analysts and scientists.I have worked as a data scientist at Meta, where I collaborated with multiple teams to provide statistical analysis and insights for the design and engineering of wearable hardware. I have also worked as a senior data analyst at WW, where I set up analytics to support the launch of product A/B testing and convert mobile data into actionable insights. Additionally, I have been a student mentor and project reviewer at Udacity for over five years, where I provide prompt and personalized code review and feedback to students in various data science and machine learning programs. I have received an average student rating of 4.83/5 for my quality of service and support.I am proficient in Python, R, SQL, and various machine learning and data visualization tools and frameworks. I am also passionate about learning new technologies and skills, such as deep learning and computer vision, which I have pursued through various online courses and certifications. I am currently enhancing my skills in Azure and looking for new opportunities to apply my data science knowledge and expertise to challenging and impactful projects.
Listed skills include R, Statistics, Sas, Biostatistics, and 28 others.
