Usman Qureshi

Analyzed complex datasets to provide actionable insights that informed marketing strategies and improved business operations.
Designed and implemented data visualization dashboards using Power BI, enabling stakeholders to monitor key performance indicators and make data-driven decisions.
Conducted market research and competitive analysis to support business development initiatives and strategic planning.
Collaborated with cross-functional teams to understand data needs, provided analytical support, and developed custom reports and visualizations.
Trained team members in data analysis best practices and the use of Power BI, enhancing the overall analytical capabilities of the organization.

Created personalized recommendation systems using collaborative filtering and content-based filtering techniques, enhancing user engagement by 20% for e-commerce clients.
Applied association rule mining to discover product purchase patterns, helping retail clients optimize product placements and cross-selling strategies.
Built time-series forecasting models to predict monthly sales, aiding clients in better inventory management and sales strategy planning.
Implemented natural language processing techniques to analyze customer reviews and feedback, delivering insights that enhanced customer satisfaction strategies.
Developed cloud-based data pipelines and storage systems using Azure Databricks, AWS Lambda, and Amazon S3, enhancing system performance and data security.
Engineered data solutions using Azure Data Factory and AWS Glue for efficient ETL processes, improving data integration speed and reliability.