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Skills

  • Team management
  • Regulatory compliance
  • Descriptive analysis for internal stakeholders
  • Budgets
  • Data cleaning and pre-processing
  • Data-driven decision-making support
  • Customer service
  • Data Warehousing Concepts
  • Relationship development
  • Predictive modeling techniques

Work Experiences

  • Assisted in the establishment of a user behavioral tracking model, enabling insights that fueled a 51% increase in customer engagement.
  • Achieved results over a 6 months period.
  • Built an anomaly detection system using Python.
  • Created and modified programs to meet the needs of customers.
  • Automated recurring data workflows using Python.
  • Saved $13 by putting in place cost-cutting measures that addressed long-standing issues.
  • Assisted in establishing a user behavioral tracking model.
  • Created a data map that connected source systems and warehouses.
  • Answered 7 calls per one year to help customers with their questions and concerns.
  • Transported HubSpot to 18 months customer locations.

Summaries

  • Contributed to a 33% boost in operational performance.
  • Achieved a 73% increase in lead conversions.
  • Collaborative Data Intern with experience working alongside cross-functional teams to extract, analyze, and present data that drives 52% operational improvements.
  • Overall morale and productivity are boosted by experience in policy development and staff management procedures.
  • Strengths in workflow optimization and process improvement backed up by Miscellaneous training.
  • Analyzed customer behavior.
  • Collaborated with marketing teams.
  • Achieved results over two years.
  • Data-driven professional.
  • Analyzed marketing initiatives.

Accomplishments

  • Identified and corrected data inconsistencies, reducing error rates by 62% through newly established cleaning protocols.
  • Designed and executed robust A/B testing experiments, leading to a 69% improvement in marketing campaign performance.
  • Developed custom Tableau dashboards to monitor key performance indicators, resulting in actionable insights and improved business outcomes.
  • Managed data cleaning of 4 records, reducing error rates and leading to a more accurate reporting environment.
  • Structured an exploratory data analysis that revealed standard, leading to the implementation of a new revenue growth strategy.
  • Used descriptive and inferential statistics to analyze customer behavior, presenting findings that drove a 31% increase in retention.
  • Proposed and implemented a data archiving solution that improved data retrieval speed by 64% while increasing storage efficiency.
  • Collaborated with cross-functional teams on data migration to program, reducing processing costs by $9 annually.
  • Analyzed operational data using SQL, identifying areas for process optimization that saved 14 hours per week.
  • Utilized data analysis to assist in the forecasting of sales trends, improving the accuracy of inventory management by 28%

Affiliations

  • American Statistical Association (ASA)
  • Tableau User Group - Seattle
  • Jaycees
  • International Association of Administrative Professionals
  • Machine Learning Society
  • AI for Good Foundation Fellowship Program
  • Society of Data Analysts (SODA)
  • American Medical Informatics Association
  • Association of Information Technology Professionals
  • Association for Computing Machinery (ACM)

Certifications

  • Project Management Professional (PMP)
  • CompTIA A+ Technician
  • Microsoft Certified Systems Engineer (MCSE)
  • Certified Microsoft Excel Expert 2016
  • Advanced SQL for Data Analysis – Mode Analytics 2017
  • Cisco Certified Network Associate (CCNA)
  • Data Wrangling with Python - University of Toronto 2024
  • Data Science MicroMasters from MIT 2023
  • Fivetran Practical Data Architect Certification - 2019
  • SHRM Certified Professional (SHRM-CP)

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