About

Pooja Shingavi is a highly skilled member of technical staff at Salesforce with 7.53 years of relevant experience in the field of security analytics, big data, and data mining. She is a perennial learner who enjoys staying up-to-date with the latest technologies and trends, making her a valuable asset to her team. Pooja's current role at Salesforce involves working on security detection and response, where she has developed solutions to automate the process of identifying security incidents. She has worked on two use cases, generating summaries of partitioned raw logs using Spark and pushing them to Splunk and HDFS. She has also worked on data visualization for the generated dataset, using Splunk and Seaborn library via Jupyter. Prior to joining Salesforce, Pooja worked at GS Lab as a Senior Software Engineer and gained expertise in Internet of Things (IoT) security. She mentored an intern on a project to develop a library for device-to-device authentication using OTP, with communication over MQTT, HTTPs. She also developed and integrated a generic REST-based adapter that could connect and provision to REST-based endpoints. Her continuous progress, leadership, and ownership skills were rewarded with a promotion. With this greater responsibility, she owned a module on the native project in IAM space, designing and implementing a generic adapter that could pull data from REST exposed endpoints. Pooja holds a Master of Science in Computer Science from the University at Buffalo and a Bachelor of Technology in Computer Science from Vishwakarma Institute of Technology. She has also completed her Higher Secondary Certificate from Modern Education Society's Nowrosjee Wadia College Arts, Science, Pune 01, and Secondary School Certificate from Stella Maris School. Pooja's technical skills include software engineering, Salesforce, big data, Jupyter, Seaborn, HDFS, and Spark. Her passion for learning and staying up-to-date with the latest technologies makes her a valuable asset to any team.