Sadiq Quasem's Email & Phone Number

💼 Past Experience

Quasem has experience in data science, software engineering, and marketing.

🎓 Education

Sadiq Quasem has a Master of Science (M.S.) in Information Systems and Decision Sciences from California State University, Fullerton, from 2017 to 2018. Sadiq Quasem also has a Bachelor of Science (BSc) in Computer Engineering from University of Cincinnati from 2011 to 2016. Sadiq Quasem holds two CEUs ( Composable Engineering Units ) from BBC World Bank.

💡 Technical & Interpersonal Skills

precipitation predictions for 24 martian months ranging from 2017 to 2022 from a Swarm platformOftentimes when it comes to working with data, one needs to develop a specific skill set in order to efficiently and Effectively process data. This is exactly what Sadiq Quasem brought to the table during his time as a Data Scientist for Johnson & Johnson. Working across the entire software development pipeline for NX 9 and 10, Quasemdeveloped the NX Performance Suite, which consisted of end to end continuous integration tests and benchmarking of the platform. Additionally, Quasem analyzed the results from the tests to compare against past versions, and suggest improvements for the development. More importantly, Quasem was also a part of the data science and machine learning team, whichfocused on building production ready services and applications for the Predix Platform.Although his work experience at Siemens PLM Software took him to Cincinnati Area, KY and San Francisco, California, it was his work on the Digital Air Strike project that has most impressively impressed him. Actasked with overhauling theUX/UI, and seamless integration with the CRM system, as well as synchronization with social media platforms such as Facebook, Twitter and Snapchat, etc. Quasem was able to write a program that automated web scraping through Mozenda for ingesting latest discount offers from the dealership websites and write it to our database. This process cut overhead costs of our social media team who had to manually do this previously, which made them more efficient. His work on the Analysis Center project for Android and Google Glass has also impressed him, as he was able to automate precipitation predictions for 24 Martian months ranging from 2017 to 2022 from a Swarm platform.Although his work experience falls outside of the field of data science, Quasem brings a vast amount of experience and knowledge to the table that, in the right hands, could lead to great success in this field. if you are interested in obtaining a skill set such as this, then I believe you should contact Sadiq Quasem, who is currently an Efficiency Engineer at Siemens PLM Software.