Priyanka Singh

Collaborated with cross-functional teams to enhance data analysis capabilities, using Power BI, Qlik, and Python. Collaborated with the other departments and produced documentation for top management and stakeholders clearly and concisely. Leveraged Power BI to create and manage 10+ interactive dashboards, leading to a 30% decrease in decision-making time. Experience in developing new business intelligence use cases and optimizing existing use cases in collaboration with specialist departments.

Enhanced patient data privacy by implementing advanced anonymization in 30,805 chest radiographs and medical images. Leveraging data modeling and ETL processes to increase data privacy(57%) without compromising utility. Extensive knowledge and experience in the areas of artificial intelligence, machine learning and generative models

Implementation of a new data analysis strategy using machine learning models, resulting in a 20% improvement in data accuracy and integrity. Created visually appealing dashboards , using Python libraries like Plotly, Scipy, matplotlib to present the data to stakeholders, increasing data accuracy by 25%. Build and analyze operational dashboards and derive best practices by calculating and monitoring KPIs.

Build, maintain, and scale Azure CI/CD pipelines for a smooth software development lifecycle with code management in a Git-based application. Utilized Python and SQL for advanced energy data analysis, significantly improving data-driven solutions and ensuring high data quality. Developed advanced analytics reports and visualizations for the fleet department and presented KPI developments, enhancing decision-making efficiency by 30%. Utilized Power BI, Python, and Adobe Analytics for data-driven strategies.

Optimized BigQuery implementations to streamline data analysis, reducing data processing times by over 20%. Improved data processing time by 20% by optimizing data cleaning procedures. Experienced in Microsoft Dynamics 365 CRM software development projects and knowledge of SCRUM and Jira.

Enhanced the predictive accuracy of market trends analysis by 35% through sophisticated data modeling techniques, significantly boosting strategic decision-making.