Raj Patel Email & Phone Number

Adelaide, Sa, Au

Adelaide, South Australia, Australia

Adelaide, South Australia, Australia

• Developed and maintained Excel VBA applications for efficient data analysis, automating repetitive tasks, and improving overall data processing capabilities.• Designed and implemented robust data pipelines to streamline the ingestion, processing, and storage of large datasets from multiple sources, ensuring data quality and consistency.• Developed, trained, and evaluated machine learning models to uncover hidden patterns and insights, driving data-driven decision-making across the organization.• Leveraged Terraform to manage infrastructure as code, automating the provisioning and management of cloud resources for scalable and cost-effective data analysis.• Configured and managed AWS Data Pipelines to orchestrate data movement and transformation, optimizing data workflows for performance and reliability.• Implemented Machine Learning Pipelines on AWS, leveraging services like Amazon SageMaker and AWS Glue, to automate and scale the deployment of ML models in production environments.• Applied MLOps principles to ensure the continuous integration, deployment, and monitoring of machine learning models, promoting collaboration and efficient iteration of ML systems.• Collaborated with cross-functional teams in WGA, including Hydrologists, Geologists, Structural Engineers, Transport Planners, Urban Designers, Environmental Consultants, and Government Agencies, to streamline processes, provide valuable insights, and enhance data management practices across various domains.• Utilized AWS Certified Developer knowledge to optimize the architecture, performance, and security of cloud-based data analysis applications and services.

Adelaide, South Australia, Australia

Ahmedabad, Gujarat, India

• Enhanced ELT workflows using multiple data sources to improve performance and streamline data processing.• Executed, evaluated, and optimized machine learning algorithms and neural networks for various industries, leveraging cloud-based platforms for scalable and efficient processing.• Successfully trained and fine-tuned GPT-J (6B) model for generating multiple-choice questions from given documents, contributing to innovative educational solutions.• Built interactive and visually appealing dashboards in Tableau and Power BI, providing comprehensive reporting, in-depth analysis, and actionable insights to drive data-driven decision-making.• Performed advanced engineering in the configuration, management, and optimization of AWS cloud environments for the training and deployment of machine learning models, resulting in a 20% cost reduction.• Collaborated with cross-functional teams to identify opportunities for implementing ML/DL solutions in business processes, enhancing operational efficiency and customer experience.• Utilized state-of-the-art deep learning frameworks to develop custom models for specific use-cases, ensuring high accuracy and performance.• Conducted regular code reviews and provided mentorship to junior team members, fostering a culture of continuous improvement and knowledge sharing.• Kept up-to-date with the latest industry trends, research, and best practices in machine learning and deep learning to drive innovation and maintain a competitive edge.

• Compiled, cleaned, and manipulated large datasets to ensure proper handling and facilitate efficient data analysis.• Restructured data collection methods by designing and implementing surveys, polls, and other data collection instruments to improve data quality and relevance.• Gathered, organized, and corrected research data to create clear and representative graphs and charts that effectively highlight results and patterns.• Created advanced graphic visualization concepts using Tableau to map and simplify the analysis of numeric data and reports, allowing for better understanding and communication of findings.• Researched, developed, and implemented machine learning applications for predicting cognitive status, contributing to cutting-edge advancements in the field.• Worked with Brain MRI images to develop predictive models for Alzheimer's disease stages, aiding early detection and treatment strategies.• Interpreted results using statistical methods to validate findings and ensure the reliability and accuracy of insights derived from data.• Collaborated with researchers from different organizations to successfully complete research projects, fostering a culture of teamwork and shared knowledge.

Master'S Degree, Data Science, 6.5/7

Bachelor'S Degree, Computer Engineering, 8.05/10