- Conducting in-depth data cleansing process using Python, SQL, and Excel to optimize
- Researching US Education Sales Accounts using CRM and MDM tools, creating a workflow that saved 80% of time for data cleaning and data quality processes
- Working with 35,000 Education records using Tableau to provide quantitative insights
- Follow SDLC life cycle to identify goals and problems accurately, ensuring precise and relevant implementation plans
- Collaborate with the data management team to develop data management standards
- Analyze and visualize US Education Sales data using Tableau
- Working in the tight deadline and to manage multiple activities and leading business
- Create presentations summarizing analysis insights and effectively conveyed results to stakeholders, executives, and team members using Keynote
- Enhance existing Tableau dashboards to align with business requirements, incorporating feedback and employing effective techniques
- Building the plans, to prioritize and begin execution for data quality processes
- Collaborate and communicate effectively with team members using Quip documents
- Validate data quality assumptions and provided 90% clean data by collaborating closely with Account Executives
- Manage data quality assurance through data cleansing and quality rules, preventing
- Automate manual tasks through the development of Python scripts, saving hundreds
- Guide career experience business analyst to automate repetitive process
- Excel, reducing analysis time by 10+ hours per week