- Leading a squad of 3 data engineers- Led the successful migration of data and processes from a legacy transactional database system to Snowflake data warehouse, ensuring a seamless transition and improved performance- Developing ETL pipelines on Apache Airflow- Designing and maintaining data models using dimensional data modeling and dbt- Implementing data validation and quality checks using great expectations- Building an A/B testing framework to centralize and facilitate… Show more - Leading a squad of 3 data engineers- Led the successful migration of data and processes from a legacy transactional database system to Snowflake data warehouse, ensuring a seamless transition and improved performance- Developing ETL pipelines on Apache Airflow- Designing and maintaining data models using dimensional data modeling and dbt- Implementing data validation and quality checks using great expectations- Building an A/B testing framework to centralize and facilitate A/B testing for all teams across the organization- Developed a recommendation algorithm to suggest alternative products to users when an item is out of stock, increasing user retention and revenue- Collaborating with cross-functional teams to understand data requirements and design scalable data architectures to support business needs- Implemented monitoring and alerting systems for critical pipelines, ensuring real-time visibility into pipeline performance and potential issues Show less

Designed and developed the curriculum for the data engineering course, covering topics such as ETL processes, data warehousing, and big data technologies

- Conducted an extensive research study focused on advancing sequential recommendation systems- Designed and implemented a recommendation algorithm using deep reinforcement learning and multi-head attention, resulting in an improvement of 6\% over the state-of-the-art approach results- Published and presented research findings as a paper titled Sequential Recommendation Using Deep Reinforcement Learning and Multi-Head Attention in the proceedings of the 56th Annual Conference on… Show more - Conducted an extensive research study focused on advancing sequential recommendation systems- Designed and implemented a recommendation algorithm using deep reinforcement learning and multi-head attention, resulting in an improvement of 6\% over the state-of-the-art approach results- Published and presented research findings as a paper titled Sequential Recommendation Using Deep Reinforcement Learning and Multi-Head Attention in the proceedings of the 56th Annual Conference on Information Sciences and Systems (CISS) Show less

Worked on a collaborative reinforcement learning agent that controls a vehicle in a Unity simulation.

My bachelor project was in the field of machine learning, specifically in reinforcement learning. The main focus of the project was to improve the performance of a multi-agent deep deterministic policy gradient (MADDPG) algorithm by designing and implementing a novel approach of experience replay.