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Ramya Subramanian has a diverse work experience in the field of data science and research. Mangalalaxmy "Ramya" worked as a Data Scientist at Rancho BioSciences from 2020-present. Prior to that, they were a Visiting Researcher at Worcester Polytechnic Institute from 2018-present, where they studied the effect of SNPs on Protein-Nucleic Acid interactions using Supervised Learning methods. Mangalalaxmy "Ramya" developed a novel machine algorithm for function annotation of non-synonymous mutations and integrated data from structural biology, interactomics, and genetics for machine learning classification. Mangalalaxmy "Ramya" also worked as a Postdoctoral Research Associate at Boston University School of Medicine from 2002-2009, focusing on researching the cellular and molecular biology of matrix production by human lung fibroblasts and studying the effects of beta 2-agonist isomers on the development of emphysema. Additionally, Ramya Subramanian completed a Data Science Career Track program at Springboard in 2020, where they gained expertise in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.

Ramya Subramanian's education history is as follows:

Ramya completed a Data Science Career Track program at Springboard in the year 2020. Mangalalaxmy "Ramya" obtained additional certifications in the field of Data Science, including "Advanced SQL for Data Scientists" from LinkedIn in March 2020 and "Building and Deploying Deep Learning Applications with TensorFlow" from LinkedIn in February 2020.

Prior to that, Ramya pursued their doctoral degree in Zoology with a specialization in Biochemistry at the University of Calicut from 1999 to 2002. Mangalalaxmy "Ramya" also completed an MPhil degree in Zoology with a focus on Biochemistry at the University of Calicut from 1998 to 1999. Before that, they earned an MSc degree in Zoology from Govt. Victoria College from 1996 to 1998.

Additionally, Ramya has obtained numerous certifications in genomics and data science, including "Genomic Data Science Capstone," "Genomic Data Science Specialization," "Bioconductor for Genomic Data Science," "Statistics for Genomic Data Science," "Command Line Tools for Genomic Data Science," "Algorithms for DNA sequencing," "Python for Genomic Data Science," "Genomic Data Science with Galaxy," "Data Analysis for Life Sciences - XSeries," "Introduction to Genomic Technologies," "PH525.4x: High-Dimensional Data Analysis," "PH525.1x: Statistics and R," "PH525.2x: Introduction to Linear Models and Matrix Algebra," "PH525.3x: Statistical Inference and Modeling for High-throughput Experiments," "The Analytics Edge," "Machine Learning," and "Data Exploration With Kaggle Scripts."

No information is provided regarding the month and year of completion for the certification "Data Exploration With Kaggle Scripts" obtained from DataCamp.