About

Prashant Bangar is a Principal ML Engineer at eQ Technologic with 9.7 years of relevant experience in the field of Data Science and Machine Learning. He has extensive experience in designing and implementing end-to-end augmented machine learning solutions in data integration and visualisation systems with a keen focus on automation and MLOps. Prashant has hands-on experience in prototyping and deploying machine learning models like XGBoost, GLM, Random forests, and clustering in production. He has also worked on Anomaly detection using LSTM-based auto encoders and survival analysis using cox proportional hazard models on streaming data. He is proficient in working with Apache Spark, Kafka, Scikit learn, and has expertise in Python development, prototyping using R, and Java full-stack development. Prashant has a strong background in time series forecasting using ARIMA family of models, prophet, and LSTMs. He is passionate about presenting data analysis findings using innovative visualisation. Currently, he is working at eQ Technologic as a Principal Machine Learning Engineer, where he is implementing end-to-end machine learning solutions in data integration and analytical suites of the data as a service platform with a focus on scalability, automation, and MLOps. In his past roles at eQ Technologic, he has worked as a Senior Software Engineer, ML, and Software Engineer, where he was responsible for R&D and implementation of Data Science and automated machine learning solutions, and full-stack developer and machine learning solutions R&D, respectively. Prashant holds a Bachelor of Engineering (B.E.) degree in Computer Science from Sinhgad College of Engineering, Pune University, and completed his HSC from Maharashtra Board. His tech stack includes ML, Integration, XGBoost, Data Scientist, Spark, Scikit, Software Engineer, Kafka, Python, and Java.