Amazon Web Services (AWS)

This course will teach you how to leverage built-in algorithms, use custom frameworks, and fine-tune hyperparameters in SageMaker, giving you skills to streamline machine learning workflows. 

With my team, we developed a novel and successful new approach for deploying remote workstations for data scientists.

SSH is an important, yet commonly ignored, skill for Data Scientists. Most programs/courses won't touch on the topic, so here's a brief article to give you some foundational SSH skills.

Streamlit is a popular and powerful Python framework for creating dashboards and data-enabled web apps. I participated in a hackathon back in April 2023 and demonstrated my project — A dynamic dashboard for visualizing a user's Skill IQ data. This demonstration showcased my own learning journey as I used Skill IQ to track my proficiency in AWS tooling.

Cloud computing skills, like AWS, are amongst the most sought after in the industry. Having these skills can make you highly employable, with average salaries being over $100K. 

I passed the AWS Certified Machine Learning - Specialty exam on April 29, 2022. You can click the above image to see my credential.

I passed the AWS Certified Solutions Architect - Associate exam on December 17, 2021. You can click the above image to see my credential.

I passed the AWS Certified Cloud Practitioner exam on July, 2021. You can click the above image to see my credential. 

As a pet project, I built a system using Airflow, Docker, Python, and an AWS S3 bucket to monitor and track Bitcoin price fluctuations. When scheduled, the Airflow DAG file_to_S3 (1) hits the coinbase API every five minutes, (2) writes the results into an AWS S3 bucket, and (3) sends a confirmation to my personal email.