I build interactive, real-time dashboards using Grafana, with a focus on clear data visualization, actionable insights, and seamless integration with diverse data sources.

I build real-time, event-driven data pipelines using Apache Kafka, with a focus on scalability, fault tolerance, and seamless data integration across distributed systems.

I use Insomnia to test my backend endpoints whenever I am building a full stack website!

I rely on Pandas for data cleaning, wrangling, and analysis in exploratory and production-level pipelines.

I build and train machine learning and deep learning models using TensorFlow, from prototyping to deployment.

I manage code, collaborate on projects, and handle version control through Git and GitHub.

I use Miro to brainstorm ideas, map out user flows, and collaborate visually during planning stages.

I manage tasks, track progress, and work within agile sprints using Jira for both solo and team projects.

I use NumPy for efficient numerical computations and as a backbone for data manipulation in ML workflows.

I create interactive dashboards and visual reports to communicate data insights effectively.

I use Looker to explore datasets and build metrics-driven dashboards for business decision-making.

I containerize applications and environments with Docker for reproducible development and deployment.

I deploy and manage full-stack apps on Heroku, focusing on fast iteration and ease of use.

I use Neo4j to model and query complex relationships in graph-based datasets.

I use MongoDB for flexible, document-based storage in full-stack and data-driven projects.

I use AWS services like EC2, S3, and Lambda for scalable computing and storage solutions.

I leverage Google Cloud at Wayfair for hosting, data pipelines, and deploying ML models, where I utilize tools like BigQuery and Dataplex for everyday tasks.

I design and query relational databases in PostgreSQL, often used in backend services.