Data Science
Tasks:- Developed a machine learning model for self-scanning in stores- Built a complex interactive dashboard with an international team- Restructured and generalized pipelines for a Bayesian model- Collaborated with stakeholders to define data product requirementsTechnical Competence:- Proficient in Python, SQL, and libraries for data processing (PySpark, Pandas), machine learning (Scikit-learn), and dashboard development (Dash, Plotly)- Skilled in cloud platforms (Azure, Databricks, Snowflake) for model development- Experienced in DevOps practices (Git workflows, build automation, linting)- Containerized applications with Docker and deployed in Azure Kubernetes Services