Divya Natolana Ganapathy

Divya Natolana Ganapathy has a diverse work experience in the field of data science and software engineering spanning over several years. Divya is currently working as a Data Scientist at Valo since April 2021. Prior to this, they were a Data Scientist at The National Institutes of Health from July 2020 to April 2021.

Divya's earlier experience includes working as a Graduate Research Assistant-Data Science at the University of Maryland Baltimore County from January 2019 to July 2020. In this role, they developed a semantically rich knowledge graph of cloud service Level agreements using various Python and NLP techniques. Divya also performed exploratory analysis, feature engineering, and data cleaning on SLA text for machine learning models.

Before that, Divya worked as a Research and Development Engineer at Nokia from March 2015 to October 2017. During this time, they implemented Hadoop MapReduce programs for analyzing call logs and built predictive machine learning models to identify trends and irregularities in data traffic flow. Divya also piloted and implemented a data infrastructure for the Base Transmitter Station monitoring system, resulting in a notable performance improvement.

Divya started their career as an Associate Software Engineer at Mphasis from September 2013 to March 2015. In this role, they developed online workflows for financial organizations using SharePoint and ASP.Net and constructed distributed systems of web services.

Overall, Divya Natolana Ganapathy has a strong background in data science, machine learning, NLP, and software engineering, with experience in various industries including healthcare, telecommunications, and finance.

Divya Natolana Ganapathy completed a Bachelor of Engineering (B.E.) in Telecommunications Engineering at CMR Group of Institutions from 2009 to 2013. Following this, they pursued a Master of Science (MS) in Computer Science at the University of Maryland Baltimore County from 2018 to 2020.