About

Abdul Khader Jilani is an accomplished inventor and data science lead at DataRobot, with over 13 years of relevant experience. He is responsible for helping DataRobot customers become AI-driven enterprises as part of the AI Execution wing and APAC squad lead. He has worked in Operations Research, solving problems in Management Sciences, such as optimizing enterprise consulting and support workforces. Abdul is also the inventor of enterprise automatons. Abdul is a contributor to B2B Analytics for Software Product Companies, and a frequent dabbler in Pattern Mining and Predictive, Prescriptive Analytics to improve revenue. He specializes in Upsell/Cross-Sell Analytics, Pipeline Prioritization, Win Loss Analytics, Pipeline Conversion Analytics, and uses a combination of R, JAVA, Javascript, Python, Nodejs, Qlikview, Teradata, SQL Server, and Hadoop. Abdul is also a contributor to BI and DWH modules of CA's Products and was the lead designer/developer of CA Clarity PPM 14 Elastic Warehouse. He has worked as a Data Scientist at Microsoft, where he was responsible for Operations Research and Management Sciences, Workforce Optimization and Supply Chain applications. He has also worked as a Principal Data Scientist at CA Technologies, specializing in B2B Analytics, Sales and Marketing Analytics, Pipeline Optimization, and Lead Conversion. Abdul has a deep understanding of AI, data science, and research, and his education history includes a Deep Learning Nano Degree from Udacity, a Certificate Program in Engineering Excellence from INSOFE, and a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from KLCE. Abdul's tech stack includes Data Scientist, AI, Research Scientist, SQL, Mobile, designer, Javascript, Hadoop, NodeJS, Python, and Java. As the APAC Lead of Advanced Data Science Services at DataRobot, Abdul is responsible for leading the APAC AI Services team across various industry sectors, including Telco, Retail, FinTech, Mobile Remote Assets, and IoT.