Pushkar Bajaj

Pushkar Bajaj has a diverse work experience in the field of data engineering, data science, and software development. Pushkar is currently working as a Senior Data Engineer at Elysium Analytics, where they manage a team responsible for building and maintaining data processes, architecting alerting pipelines, implementing data pipelines for insightful metrics, and building data pipelines for threat/alert analysis.

Prior to this, Pushkar worked as a Data Engineer at System Soft Technologies, where they processed security and operational log data, built alert pipelines, and created data pipelines for dashboards. Pushkar also served as a Data Scientist at System Soft Technologies, where they worked on UEBA powered by unsupervised machine learning models, built a decision-making component using Camunda Rule Engine, implemented REST APIs, and collaborated with the SME team to devise scoring targets and methodologies.

Before joining System Soft Technologies, Pushkar worked as a Data Scientist at Binaize, where they worked on a POC for time series modeling, created contextual chat bots using the RASA framework, deployed chatbots on various platforms, and implemented an orchestration tool using an open-source Bio Depot Tool.

Earlier in their career, Pushkar served as a Product and Technology Lead at AAO Hostels, where they contributed to the design and implementation of the hostel marketplace website backend, designed the workflow of the product, and iterated on the design using key user interaction metrics. Pushkar also gained experience as a Software Developer Intern at ST Microelectronics.

Overall, Pushkar Bajaj has a strong background in data engineering, data science, and software development, with experience in managing teams, building and maintaining data processes, architecting pipelines, and implementing machine learning models.

Pushkar Bajaj completed their Bachelor of Engineering (B.E.) degree in Computer Engineering from Thapar Institute of Engineering & Technology, from 2013 to 2017. Additionally, they obtained several certifications from Coursera in various areas of machine learning and deep learning, including topics like Convolutional Neural Networks, Deep Learning Specialization, Sequence Models, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Machine Learning, Neural Networks and Deep Learning, and Structuring Machine Learning Projects. These certifications were obtained between March and April 2019.