Integrated a DevOps AI team tackling quality issues. Amongst my tasks were:

• Built high-quality data pipelines and optimized data assets of over 500M rows with AWS, Glue, and PySpark

• Worked with domain experts/developers to verify fault hypotheses and root cause analyses on highly imbalanced datasets using SKLearn, PyCaret, Pandas, Seaborn, Sagemaker

• Developed end-to-end dashboards for 50+ users including data processing of several terabytes to Machine Learning models and visualizing with UX/UI

Lead a software project as a junior: From design to deployment and maintenance

• Produced and deployed scraping cron jobs, a database with its API and a client app

• Tech stack: Python, MongoDB, JS/React/Redux

• Adapted the app's logic for MongoDB to be ACID

• Managed a team together with task priorities

• Normalized and analyzed document datasets at scale

• Learned AWS services and deployed the software in AWS

• Obtained clients for the app, ensured their satisfaction with good maintenance of the product

• Managed the whole cloud infrastructure of the company, deployed and maintained client’s websites

• Ensured the recruitment process for the upcoming team