Graduate Research Assistant

• Aug 2022 - Present

Wrote automation scripts in python to perform data analysis for big data Proficiently developed complex algorithms and conducted statistical analyses using R programming. Expertise in data creation and manipulation to ensure accurate and meaningful results. Strong focus on writing efficient and optimized algorithms to support data-driven decision-making and enhance overall project outcomes Collaborated with Fairfax County's Data Analytics Unit, utilizing Tableau for advanced data… Show more Wrote automation scripts in python to perform data analysis for big data Proficiently developed complex algorithms and conducted statistical analyses using R programming. Expertise in data creation and manipulation to ensure accurate and meaningful results. Strong focus on writing efficient and optimized algorithms to support data-driven decision-making and enhance overall project outcomes Collaborated with Fairfax County's Data Analytics Unit, utilizing Tableau for advanced data visualization and analysis. Developed interactive dashboards to extract valuable insights, support data-driven decision-making, and facilitate strategic planning for the organization's projects Employed GitHub Actions to automate build, test, and deployment workflows. Define workflows using YAML files and trigger based on events such as code pushes, pull requests, or scheduled intervals

Data Science Intern

• May 2022 - Aug 2022

Developed automated data extraction and cleaning APIs in Python and R, leveraging their unique capabilities. Efficiently gathered and cleaned data from diverse sources, ensuring data accuracy and integrity. Empowered data-driven decision-making through streamlined data analysis for multiple projects. Proficiently handled end-to-end data operations, including extraction, cleaning, analysis, and visualization, while expertly managing source code through version control systems. Developed… Show more Developed automated data extraction and cleaning APIs in Python and R, leveraging their unique capabilities. Efficiently gathered and cleaned data from diverse sources, ensuring data accuracy and integrity. Empowered data-driven decision-making through streamlined data analysis for multiple projects. Proficiently handled end-to-end data operations, including extraction, cleaning, analysis, and visualization, while expertly managing source code through version control systems. Developed automation scripts to streamline repetitive tasks and enhance overall efficiency in data-related processes. Gathered and analyzed 20+ data sources to create nationwide cost-of-living map at census tract level Developed R scripts to extract large data sets using APIs and improved the speed for data extraction

Associate Software Engineer

• Jan 2020 - Jul 2021

Spearheaded the implementation of automated CI/CD pipelines utilizing Docker containers, Kubernetes, Ansible, and Jenkins, resulting in an impressive 80% reduction in deployment time Designed and deployed multiple applications on the AWS stack, prioritizing high availability and fault tolerance through Infrastructure as Code with Terraform, leading to a remarkable 75% improvement in system up time Architected a Multi AZ RDS AWS infrastructure with a focus on uninterrupted access… Show more Spearheaded the implementation of automated CI/CD pipelines utilizing Docker containers, Kubernetes, Ansible, and Jenkins, resulting in an impressive 80% reduction in deployment time Designed and deployed multiple applications on the AWS stack, prioritizing high availability and fault tolerance through Infrastructure as Code with Terraform, leading to a remarkable 75% improvement in system up time Architected a Multi AZ RDS AWS infrastructure with a focus on uninterrupted access for users across diverse geographic locations. Leveraged various services to optimize application performance, resulting in seamless user experiences and widespread accessibility Orchestrated a seamless shift from Jenkins CD to Agile GitOps utilizing Argo CD, resulting in a remarkable reduction of application deployment time to minutes within the Kubernetes Cluster Environment Effectively executed the deployment of a monitoring tools stack including Prometheus and Grafana via helm charts, resulting in a 70% increase in issue identification and resolution efficiency Show less Spearheaded the implementation of automated CI/CD pipelines utilizing Docker containers, Kubernetes, Ansible, and Jenkins, resulting in an impressive 80% reduction in deployment time Designed and deployed multiple applications on the AWS stack, prioritizing high availability and fault tolerance through Infrastructure as Code with Terraform, leading to a remarkable 75% improvement in system up time Architected a Multi AZ RDS AWS infrastructure with a focus on uninterrupted access… Show more Spearheaded the implementation of automated CI/CD pipelines utilizing Docker containers, Kubernetes, Ansible, and Jenkins, resulting in an impressive 80% reduction in deployment time Designed and deployed multiple applications on the AWS stack, prioritizing high availability and fault tolerance through Infrastructure as Code with Terraform, leading to a remarkable 75% improvement in system up time Architected a Multi AZ RDS AWS infrastructure with a focus on uninterrupted access for users across diverse geographic locations. Leveraged various services to optimize application performance, resulting in seamless user experiences and widespread accessibility Orchestrated a seamless shift from Jenkins CD to Agile GitOps utilizing Argo CD, resulting in a remarkable reduction of application deployment time to minutes within the Kubernetes Cluster Environment Effectively executed the deployment of a monitoring tools stack including Prometheus and Grafana via helm charts, resulting in a 70% increase in issue identification and resolution efficiency Show less

Research Intern

• Jan 2021 - May 2021