About

Samya Raghuvanshi is a highly skilled Data Scientist and Consultant II - Lead Assistant Manager at EXL with over 5 years of experience in the field of data science. She is currently working as an Associate Consultant at Capgemini, where she is responsible for developing data-driven solutions and modelling CO2 levels monitoring tools. Additionally, she is involved in the development of Datalake for the movement of on-premise data to Hadoop and further to Azure Cloud using HDFS, pyspark, SparkSQL, and Linux environment. Samya is also proficient in developing python scripts for modifying and generating data for business use cases. Samya has previously worked as a Senior Analyst at Capgemini, where she was responsible for developing functionality for a sales prediction tool for the forecast team of the client. She created and presented models of predictive analytics to forecast sales coded in Python hosted on Azure Databricks and integrated Azure cloud services including SQL, Data Factory, Storage explorer, and PowerBI. She also aided in final testing and bug fixing to achieve 100% efficiency and was involved in business analysis and specification development. Samya started her career as an Intern at the Centre for Development of Telematics (C-DOT), where she studied DHCP Client Server Protocols and performed research analysis of automatic management of IP addresses and other TCP/IP settings for network clients by DHCP. She also analyzed overhead reduction by designing and deploying a reliable and scalable DHCP solution. Samya holds a Bachelor of Technology degree in Electronics and Communication Engineering from the National Institute of Technology Hamirpur, where she graduated in 2018. She also completed her schooling from Somerville School Noida in the Science Stream in 2007. Samya is proficient in several technologies, including Data Scientist, Research Scientist, Azure, Python, HDFS, SQL, Hadoop, Databricks, and test. She is an accomplished professional with a relevant experience of 5.20 years and is highly motivated to take on new challenges in data science and analytics.