komal azram

I am an experienced Analytics Engineer with a strong background in data transformation and machine learning. Currently, I work remotely for Tech Style Fashion Group, where I have optimized data transformation scripts, significantly reducing the airflow DAG runtime. I also built a recommendation system using Snowflake Cortex to analyze Jira tickets, which has enhanced team productivity and decision-making. My commitment to delivering self-serve analytics dashboards has improved near real-time reporting for my team.

Previously, I served as a Data Engineer at OpenAIMP, where I enhanced the fraud detection accuracy model by developing a machine learning pipeline with MLflow. I automated a data lakehouse using the medallion architecture, ensuring data quality checks were implemented and utilizing Apache Airflow for workflow automation. My journey began as a Digital Learning Analyst at Elixir Technologies, where I led a cross-functional team to improve product features and reduce customer support tickets significantly.