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Skills

  • Budgets
  • Customer behavior analysis for retention
  • Project organization
  • Business operations
  • Data visualization using SAS Visual Analytics
  • Identifying customer retention drivers
  • Financial forecasting and modeling using SAS
  • Budget and cost tracking using SAS
  • Handling large datasets (e.g., over 11 million records)
  • Forecast accuracy improvement

Work Experiences

  • Analyzed raw sales data within SAS, identifying market trends that directly contributed to a new product strategy, which increased revenue by $6 in two years.
  • Reviewed technical documentation and procedures for system and metric.
  • Achieved a 53% improvement in retention rates.
  • Conducted executive reviews.
  • Built and provided basic end-user troubleshooting and desktop support on Windows, Linux, and Mac systems.
  • Worked closely with QuickBooks and Asana users to provide solutions to operations issues via phone, email, live chat, and web teleconference.
  • Collaborated with stakeholders to enhance operational efficiency via SAS forecasting tools, achieving operational cost savings of $11 within two years.
  • Collaborated with stakeholders to enhance operational efficiency.
  • Audited data management systems for compliance.
  • Collaborated with data science teams.

Summaries

  • Advanced statistical methods for actionable business insights.
  • Collaborative SAS Analyst.
  • Automation-focused SAS Analyst.
  • Collaborated with finance teams.
  • Within Miscellaneous, senior SAS Analyst and outstanding performer in budget management and strategic planning.
  • Achieved $7 in cost savings.
  • Achieved a 33% increase in team efficiency.
  • Achieved 75% runtime improvement.
  • Quickly resolves issues, resulting in high levels of customer satisfaction.
  • Permissions, filters, and file sharing are all skills she possesses.

Accomplishments

  • Utilized SAS analytics to uncover key cost-cutting opportunities within the logistics department, resulting in savings of $2.
  • Developed regression models using SAS to predict customer churn, improving retention strategy by 27%.
  • Implemented segmentation analysis using SAS to categorize customer base, resulting in a 21% increase in targeted marketing effectiveness.
  • Streamlined data extraction processes, resulting in a 48% reduction in time spent on data preparation and analysis.
  • Utilized SAS’s predictive modeling to optimize supply-chain inventory levels, reducing stockouts by 62% and lowering overall costs by $14.
  • Collaborated with other data analysts to utilize SAS in creating predictive maintenance schedules, improving equipment uptime by 20%.
  • Executed in-depth data-cleaning operations using SAS, improving data accuracy and reliability by 29% for critical business decisions.
  • Collaborated with team of 3 in the development of method.
  • Analyzed large datasets in SAS to extract insights on consumer behavior, leading to the introduction of ServiceNow, increasing sales by $12.
  • Worked alongside the finance team to use SAS for stock forecasting and revenue projections, improving revenue predictability accuracy by 24% points.

Affiliations

  • SAS Users Group International (SUGI) Member
  • Member, Data Analytics Association
  • Member, Risk Management Association (RMA)
  • Attendee, Global SAS Forum - 2017
  • International Council of Nurses
  • Research Affiliate, International Biometric Society (IBS)
  • Lions Club
  • Member, European Association for Data Science (EuADS)
  • Participating Analyst, Data Ethics Lab Project - 2021
  • Mentor, SAS Analyst Mentorship Program - Boston

Certifications

  • Certified Analytics Professional (CAP)
  • Salesforce
  • IBM Data Science Professional Certificate
  • SAS Certified Visual Business Analyst
  • Certified Public Accountant (CPA)
  • Cloudera Certified Data Analyst (CCDA)
  • Google Professional Data Engineer Certification
  • Certified ScrumMaster (CSM)
  • Google Certified Professional Cloud Architect
  • Certified Information Privacy Professional (CIPP/E) for GDPR Compliance

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