Raghuvir Dav

Developed an application with FastAPI to orchestrate the management and lifecycle of environments. Engaged extensively with Environment Support, Testing Teams, Project Leads, and external parties across testing phases, ensuring smooth and timely test environment operations. Developed and maintained reporting frameworks for monitoring and automating infrastructure. Maintained high availability of non-production environments by managing proactive monitoring and alerting for infrastructure, minimizing downtime, and enhancing system reliability. Maintained clear, timely communication with stakeholders to align on progress, direction, and issue resolutions, fostering transparency and accountability. I worked on Linux and Windows systems with experience in Python, Oracle databases, and MongoDB, providing a strong technical foundation for monitoring, troubleshooting, and development support.

• Developing and maintaining a sophisticated data pipeline to analyze and process data critical for anti-trafficking initiatives, enhancing the NGO's operational efficiency and impact. • Implement and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines, significantly reducing deployment times and improving code quality. • Utilize Python for developing scalable scripts and applications, improving data processing speed. • Oversee the usage and updates of Machine Learning models to analyze trends and predict trafficking activities, increasing model accuracy. • Employ IBM Cloud, Docker, Kubernetes, and MongoDB to automate and streamline operations, reducing operational costs. • Collaborate closely with cross-functional teams to ensure the seamless integration of technology solutions, enhancing team productivity and data analysis capabilities.

Python Plotly-Dash (FinTech) - Developed and maintained a Plotly Dash-based web application for stock trading and data analysis. - Implemented various technical indicators using Pandas and Numpy to improve the trading algorithm. - Created interactive charts and graphs using Matplotlib and Plotly to visualize the trading data. - Worked on a data analysis project for a financial services client using Python and SQL. - Performed statistical analysis and generated reports to provide insights to the client. - Built interactive dashboards using Plotly and deployed them on the client's intranet. - Conducted code reviews and maintained version control using GIT. Python-Django - Worked on the development of a construction management solution using Python, Django, PostgreSQL, and Sandbird API. - Participated in the design, development, and deployment of web-based applications. - Developed and maintained various APIs to facilitate data exchange between different services. - Optimized database queries and improved application performance. - Participated in code reviews, bug fixing, and testing. - Collaborated with team members to ensure the timely delivery of projects. DevOps - Aided in managing AWS resources: EC2, Lambda, RDS, S3, VPCs. - Supported automation via Python, Terraform, and Ansible scripts. - Helped build Jenkins/Git CI/CD pipelines. Assisted in Docker & and Kubernetes application deployment. - Contributed to Terraform CloudFormation for infrastructure- as-code. - Configured AWS CloudWatch for automation. - Supported Postgres setup, backup, and recovery tasks. - Collaborated with Devs on application and infrastructure troubleshooting.