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Skills

  • Operational improvement
  • Pricing tool development
  • Organization
  • PostgreSQL
  • Extremely organized
  • MS Office
  • Document scanning
  • Hardware evaluation
  • Research project support
  • Laboratory testing and analysis

Work Experiences

  • Assisted in automating data collection processes using APIs, which saved 13 hours of manual scraping per week and made analysis more frequent and reliable.
  • Boosted conversion rates by 85%.
  • Achieved a 51% improvement in forecasting accuracy by building and optimizing a demand prediction model using logistic regression.
  • Automated missing data imputation using Python.
  • Achieved a 40% enhancement in Jira.
  • Achieved a 68% improvement in forecasting accuracy.
  • Collaborated with cross-functional teams to enhance data governance policies, ensuring data integrity and compliance across 14 departments at Meridian.
  • Checked incoming data for accuracy and integrity, as well as independently locating and correcting issues.
  • Assisted in the training of new employees on how to use relational database systems like QuickBooks.
  • Created data visualization graphics, converting large amounts of data into clear visual representations.

Summaries

  • Customer-focused Sales Representative with 7 years of experience solving problems for clients.
  • Team player who excels at collaborating with hardware and software experts to create a cohesive and successful design.
  • Data Science Intern is a multi-talented Data Science Intern who is consistently rewarded for planning and operational improvements.
  • Top-producing salesperson and industry expert in Miscellaneous.
  • Data Science Intern with a strong desire to succeed in high-stakes digital intelligence processing environments.
  • Setting up and conducting method studies is something I've done before.
  • Design and development of successful program embedded software applications in the past.
  • Proven leadership, operational excellence, and organizational development skills, as well as a thorough understanding of the category business.
  • Costs were consistently reduced while profits were increased.
  • Handling of study documentation and records is well-coordinated.

Accomplishments

  • Streamlined
  • Established
  • Design: Responsible for creative design for prominent category.
  • Documented
  • Monitored
  • Resolved product issue through consumer testing.
  • Automated data pre-processing tasks for a data warehousing project, reducing manual intervention time by 73% and improving pipeline reliability.
  • Collaborated with a team of 8 to deploy a real-time recommendation engine for method, yielding a 60% increase in user engagement.
  • Created Tableau dashboards to visualize customer journey analytics, enabling a 75% boost in comprehension across marketing and sales teams.
  • Ensured

Affiliations

  • Institute of Electrical and Electronics Engineers (IEEE) – Data Science & AI Chapter
  • Data Science Student Ambassador Program - 2019
  • Society of Women Engineers
  • The Data Mining Society
  • Association for Supply Chain Management (APICS)
  • Google Developer Student Club
  • Project Management Institute
  • Python Users Group Seattle
  • American Society of Safety Professionals
  • Big Data and AI Association

Certifications

  • Certified Data Mining and Applications Specialist (CDMAS)
  • Certified Fraud Examiner (CFE) with Data Analytics Focus
  • Salesforce
  • SHRM Senior Certified Professional (SHRM-SCP)
  • CompTIA Network+
  • Amazon Web Services (AWS) Certified Machine Learning Specialty
  • Data Science Specialization by procedure via Jira
  • CompTIA A+ Technician
  • Microsoft Certified: Azure Data Scientist Associate
  • Big Data and High-Performance Data Science Specialization by Meridian

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