Asad Raza
About Asad Raza
Asad Raza is a Data Scientist at Bluecore in India, where he has worked since 2018. He possesses expertise in multiple programming languages and big data technologies, along with a strong background in machine learning and cloud deployment.
Work at Bluecore
Asad Raza has been employed at Bluecore as a Data Scientist since 2018. In this role, he has contributed to various data-driven projects, leveraging his expertise in big data technologies and machine learning. His work focuses on building scalable systems that can efficiently process and analyze large volumes of data, which is essential for the company's data-centric operations.
Previous Experience at Betaout
Prior to joining Bluecore, Asad Raza worked at Betaout as a Machine Learning Engineer from 2016 to 2018. During his tenure, he developed and implemented machine learning models, enhancing the company's capabilities in data analysis and predictive modeling. This experience provided him with a solid foundation in machine learning applications within a business context.
Education and Expertise
Asad Raza holds a Bachelor of Technology (BTech) degree in Computer Engineering from Aligarh Muslim University, where he studied from 2009 to 2013. His educational background has equipped him with a strong understanding of computer science principles, which he applies in his current role as a Data Scientist. He is proficient in programming languages such as SCALA, PYTHON, and JAVA, and has completed hands-on training in AWS Technical Essentials.
Technical Skills and Technologies
Asad Raza possesses extensive technical skills in big data technologies, including Apache Hadoop, STORM, and HIVE. He is experienced in using distributed messaging systems like KAFKA and RabbitMQ, which are critical for building robust data pipelines. Additionally, he utilizes machine learning tools such as Zeppelin and IPython Notebook, and has experience deploying machine learning modules using Amazon AWS.
Big Data Systems Development
Asad Raza has a strong background in designing and integrating solutions for big data systems. He has built scalable training and deployment infrastructure for machine learning modules, enabling efficient data collection, processing, and storage. His hands-on experience with various big data technologies positions him as a knowledgeable professional in the field of data science.