Yadu S.
About Yadu S.
Yadu S. is a Senior Data Scientist with a PhD in Condensed Matter Physics from the University of Tennessee, Knoxville. He has extensive experience in machine learning, data analysis, and computer vision, having worked at various organizations including Tula Health and Oak Ridge National Laboratory.
Work at Tula Health
Currently, Yadu S. serves as a Senior Data Scientist at Tula Health, a position held since 2023 in the San Francisco Bay Area. Prior to this role, Yadu worked as a Data Scientist at Tula Health from 2022 to 2023. In both positions, Yadu has contributed to the development and deployment of machine learning models, utilizing various advanced techniques and tools.
Education and Expertise
Yadu S. holds a Doctor of Philosophy (PhD) in Condensed Matter Physics from the University of Tennessee, Knoxville. Additionally, Yadu earned a BS-MS Dual Degree in Condensed Matter and Materials Physics from the Indian Institute of Science Education and Research in Thiruvananthapuram. Yadu possesses expertise in supervised and unsupervised machine learning techniques, including tree-based methods, Bayesian approaches, and clustering.
Background in Research and Teaching
Yadu S. has a background in research and teaching. From 2016 to 2022, Yadu worked as a Graduate Research Assistant at Oak Ridge National Laboratory. Additionally, Yadu served as a Graduate Teaching Assistant at the University of Tennessee from 2015 to 2016. Yadu also completed a summer internship at the International Centre for Theoretical Sciences in 2013.
Technical Skills and Tools
Yadu S. is proficient in multiple programming languages, including SQL, Python, C++, and Bash. Yadu utilizes deep learning frameworks such as TensorFlow, Keras, and PyTorch for developing convolutional neural networks. Yadu also employs cloud services like AWS S3, Lambda, and Sagemaker for deploying machine learning models and uses natural language processing tools like NLTK, SpaCy, and HuggingFace for text analysis.
Data Science Applications
Yadu S. has experience in computer vision applications using Keras and statistical analysis for data-driven decision-making. Yadu is skilled in using data visualization and business intelligence tools such as Looker and Tableau. Additionally, Yadu employs A/B testing to validate business hypotheses and utilizes dbt for data transformation and modeling.