MD Modassir Athar
About MD Modassir Athar
MD Modassir Athar is a Data Analyst I at Bristol Myers Squibb, specializing in Innovation & Digital Health, with a background in data science and engineering.
Company
MD Modassir Athar is currently working at Bristol Myers Squibb as a Data Analyst I within the Innovation & Digital Health division. Based in Hyderabad, Telangana, India, his role involves leveraging data analytics to support innovative health solutions in a global pharmaceutical context.
Title
MD Modassir Athar holds the title of Data Analyst I. In his current position at Bristol Myers Squibb, he integrates data analysis with innovative digital health initiatives, shaping the future of health solutions through data-driven insights.
Previous Positions and Experience
Before joining Bristol Myers Squibb, MD Modassir Athar worked at Healthark Insights as a Consultant - Data Science for two years (2022-2024). His prior positions include a Graduate Engineer Trainee stint at TATA Power from 2021 to 2022, a membership role at the Confederation of Young Leaders (CYL) from 2019 to 2020, and various roles at Jamia Millia Islamia International Model United Nations and Enactus in New Delhi. His early career also includes vocational training at Bharat Heavy Electricals Limited and multiple internships that contributed to his expertise in data science and engineering.
Education and Academic Background
MD Modassir Athar completed his Bachelor's degree in Electrical and Electronics Engineering at Jamia Millia Islamia from 2017 to 2021. His earlier education includes studying Mathematics, Physics, Chemistry, English, and Hindi at Patna Muslim High School, achieving his Higher Secondary certification between 2014 and 2016. He also attended Jawahar Navodaya Vidyalaya (JNV) from 2012 to 2014, focusing on Mathematics, Science, Social Science, Hindi, and English.
Technical Expertise and Tools
MD Modassir Athar has developed proficiency in handling and analyzing Real World Data (RWD), particularly using PySpark for big data processing and analysis. He is experienced with cloud-based data storage solutions, such as Google Cloud and Snowflake, and possesses strong skills in writing complex SQL queries for data extraction and manipulation. Additionally, he has hands-on experience with MS SQL Server and Amazon S3, demonstrating his versatility across various database management systems.