Prashant Bangar
About Prashant Bangar
Prashant Bangar is a Senior Software Engineer with extensive experience in data processing and machine learning. He has worked at Eq Technologic since 2017 and has a background in software engineering from Persistent Systems and a solid educational foundation in Computer Science.
Work at eQ Technologic
Prashant Bangar has been employed at eQ Technologic since 2017, where he holds the position of Senior Software Engineer. His role involves utilizing advanced data processing techniques and machine learning models to enhance the company's technological capabilities. Prior to his current position, he served as a Software Engineer at the same company from 2014 to 2017. His experience at eQ Technologic spans over seven years, during which he has contributed to various projects focused on data analysis and machine learning.
Education and Expertise
Prashant Bangar earned his Bachelor of Engineering degree in Computer Science from Chatrapati Sahuji Maharaj Kanpur University, where he studied from 2009 to 2013. He also studied at the Department of Technology, Savitribai Phule Pune University, obtaining another Bachelor of Engineering degree. His educational background is complemented by his proficiency in various technologies, including Apache Spark, Kafka, and Scikit-learn, which he employs for data processing and machine learning tasks.
Background
Before joining eQ Technologic, Prashant Bangar worked at Persistent Systems. He began as a Project Trainee from 2012 to 2013 and later transitioned to a Software Engineer role from 2013 to 2014. His experience at Persistent Systems provided him with foundational skills in software engineering and project management. He completed his early education at Sadhana English Medium School and Sadhana Jr. College, where he focused on General Studies.
Technical Skills and Specializations
Prashant Bangar possesses a diverse skill set in software development and data analysis. He is proficient in Python development and has experience in prototyping with R and Java full-stack development. His technical expertise includes deploying machine learning models such as XGBoost, GLM, and Random Forests into production environments. Additionally, he specializes in anomaly detection using LSTM-based autoencoders and time series forecasting using ARIMA models, Prophet, and LSTMs.
Data Analysis and Visualization
Prashant Bangar is passionate about presenting data analysis findings through innovative visualization techniques. He utilizes his expertise in machine learning and data processing to derive insights from complex datasets. His focus on effective communication of data-driven results enhances decision-making processes within his organization.