Results-oriented Data Engineer with three years of expertise in efficiently managing clinical data through comprehensive use of Azure DevOps, Airflow, Snowflake, ETL tools, and SQL. Proven ability to design and implement robust data architectures, ensuring the seamless integration, transformation, and storage of clinical data. Adept at leveraging cutting-edge technologies to optimize workflows and enhance data-driven decision-making processes.
Developed a sophisticated Academic Performance Analytics System using Python and Pandas, analyzing student grades, attendance, and
demographic data. Conducted in-depth statistical analysis,providing actionable insights to enhance student outcomes and academic strategies.
Technologies and Skills: Python, Pandas, Matplotlib, Data Analysis, Statistical Analysis, Visualization.
Led a collaborative effort in Retail Sales Forecasting and Inventory Optimization, employing SQL and Python. Cleaned and integrated
diverse datasets, applying advanced analytics to predict sales trends. Achieved a 15% reduction in excess inventory and a 10% increase
in sales revenue.
Technologies and Skills: SQL, Python, Data Cleaning, Advanced Analytics, Sales Forecasting, Inventory Optimization.
Technologies and Skills: Python, Django, HTML, CSS, JavaScript, PostgreSQL (for database), RESTful API.