Mr. Praveen holds a Master of Technology in Computer Science & Engineering from Osmania University, India, and a Bachelor of Civil Engineering from Kakatiya Institute of Technology and Science, Kakatiya University, India. With a robust experience of 25 years in the IT industry, he has gained valuable expertise through various international ventures.
In 2002, he spent nearly a year in the USA, working at Microsoft Technology Center – Seattle. Following that, he contributed his skills for approximately 2 years in New Zealand with the Foundation for Research Science and Technology.
Since 2004, Mr. Praveen has been based in Australia, focusing on DW/BI (Data Warehousing/Business Intelligence) and Hadoop tools. His notable client engagements include Australian Government departments such as Department of Home Affairs, Australian Federal Police, and Department of Human Services. He has also worked with organizations like Tabcorp Holdings Limited, Teradata Corporation, Telstra Corporation Limited for the Department of Defence Project, Australian Securities and Investments Commission, Department of Veterans’ Affairs, Airservices Australia, Department of Health and Ageing, Defence Housing Australia, Foundation for Research Science and Technology, Stockland Development Pty Limited, Wipro Limited, Datamatics Global Services Limited, Mahindra Satyam – Microsoft Corporation Project, and McCreade Software (Asia) Pvt. Ltd.
His skill set encompasses a wide range of tools and technologies, including Spark and Scala, HDFS (Hadoop Distributed File System), Hive, Nifi, Streamsets, and other Big Data/Hadoop toolsMr. Praveen holds a Master of Technology in Computer Science & Engineering from Osmania University, India, and a Bachelor of Civil Engineering from Kakatiya Institute of Technology and Science, Kakatiya University, India. With a robust experience of 25 years in the IT industry, he has gained valuable expertise through various international ventures.
In 2002, he spent nearly a year in the USA, working at Microsoft Technology Center – Seattle. Following that, he contributed his skills for approximately 2 years in New Zealand with the Foundation for Research Science and Technology.
Mr.Rajeshwar is a highly skilled professional with a strong background in statistics, data science, and computer engineering. His educational qualifications include a MicroMasters in Statistics and Data Science from the Massachusetts Institute of Technology and a Post Graduation in Data Science from the Indian Institute of Technology Guwahati. He obtained his Bachelor of Engineering in Computer Technology from Kavikulguru Institute of Technology and Science, Nagpur University, and holds a Computer Engineering Diploma from S.N.M Polytechnic Khammam, India.
During 2007 to 2008, Mr.Rajeshwar gained valuable international experience while working in the United States. He contributed his expertise to prominent companies such as Merck in Whitehouse Station, NJ (with HCL America) and Prudential Financials in Shelton, CT. Throughout his career, he has also worked for multinational corporations including GE Capital, WIPRO Infotech, HSBC GLT, and HCL Technologies India.
With a career spanning 20 years, Mr. Rajeshwar has developed a strong focus in the fields of Data Science, Business Intelligence, and Data Warehousing. He possesses extensive knowledge and practical experience with various BI/DW technologies, including MSBI, IBM COGNOS, and Business Objects. In the past 12 years, he has worked with multiple Australian clients, collaborating with organizations such as Western Power, Integral Energy, Westpac (with HCL Australia), Department of Veterans’ Affairs, Primary Health Care, NSW Rail Corp (with Mahindra Satyam), Nuance Group, Optus Sydney (with Tech Mahindra), Department of Finance New South Wales, Department of Defence project (with Avanade Australia), Australian Red Cross Blood Service, Department of Communities and Justice and the Australian Department of Health.
Currently, Mr.Rajeshwar holds the position of Health Manager at New South Wales Health in Sydney, Australia. His expertise lies in Python programming, Machine Learning, Deep Learning, Image Classification, Anomaly Detection, and Prediction. He possesses a versatile skill set that includes Data Extract, Transform and Loading (ETL) using tools such as Talend for Big Data, IBM Cognos Tools, TM1, Power BI, Python, Machine Learning/Deep Learning, AWS SageMaker, Machine Learning on AWS, TensorFlow, Snowflake, Cerner Millennium, and the Hadoop toolset, including Spark/Scala, Pyspark, Hive, and Kafka.
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