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Skills

  • Team building
  • Project lifecycle
  • System expertise
  • Cloud computing with AWS/GCP
  • Security systems
  • Automating routine tasks using Python scripts
  • Planning and coordination
  • Analyzing data trends for market research
  • Agile methodology for project management
  • First Aid/CPR

Work Experiences

  • Assisted in building machine learning models to predict metric, achieving a 70% improvement in accuracy.
  • Collaborated closely with team members to meet project deadlines, develop solutions, and deliver project requirements.
  • Automated routine tasks.
  • Kept my category knowledge up to date by doing team leadership and client relations.
  • Learned project management and data analysis to help with office needs.
  • Applied clustering techniques on system data to identify customer segments, leading to effective targeted marketing campaigns.
  • Working with team members and customers to find workable solutions improved operations.
  • Analyzed sales trends.
  • Evaluated current business and technological resources to improve project plans.
  • Was in charge of all tasks delegated to me, including strategic planning and vendor management.

Summaries

  • Communication, project planning, and organizational skills are all important.
  • Accomplished at identifying key business metrics through exploratory data analysis (EDA), boosting decision-making efficiency for product teams.
  • Achieved a 46% reduction in manual data entry tasks.
  • Knowledge of Adobe Creative Suite in depth, as well as project management and client relations abilities.
  • Adaptable and motivated, with a strong work ethic and the ability to thrive in either a team-based or individually motivated environment.
  • Achieved substantial improvements in accuracy.
  • Proficient in promoting initiative by leveraging project management and client relations knowledge.
  • Individual who is enthusiastic and capable of working in both a team and independently.
  • Computer scientist with a passion for developing useful process solutions to meet changing business and customer needs.
  • Expert in standard with a strong aptitude for streamlined and spearheaded.

Accomplishments

  • Collaborated with 4-member cross-functional team to design a custom analytics dashboard, reducing reporting time by 37% hours.
  • Helped the organization complete a transition to cloud-based data infrastructure, resulting in a 80% improvement in data accessibility for remote teams.
  • Worked closely with the engineering and business teams to integrate data-related solutions, ensuring alignment with long-term strategic goals.
  • Developed a predictive model using Python that improved demand forecasting accuracy by 67% for product.
  • Collaborated with stakeholders to define key performance indicators (KPIs), developing dashboards that allowed the marketing team to track performance, leading to 57% improvement in decision-making clarity.
  • Collaborated with sales to design and implement a user behavior model on historical data that improved targeting for customer acquisition by 46%.
  • Conducted exploratory data analysis (EDA) on customer datasets, unveiling critical insights that informed future marketing strategies.
  • Increased the efficiency of data retrieval processes by writing optimized SQL queries, reducing query run-time by 61% and enhancing report delivery.
  • Contributed to the implementation of a machine learning pipeline using Adobe Creative Suite, reducing processing time by 18% and boosting project efficiency.
  • Presented data-driven insights to senior management, leading to evidence-backed decisions that reduced operational costs by 10.

Affiliations

  • Contributor to GitHub’s open-source data science repositories, sharing effective methods and participating in peer code reviews within the community.
  • Affiliated with IEEE and engaged in the community's Data & Analytics Special Interest Group (SIG) for professional growth and research.
  • Invited to present findings on customer segmentation analysis at the local Raleigh Data Analytics Conference, leading discussions on clustering results and impact.
  • Enrolled in Coursera’s Advanced Data Science specialization, actively involved in data engineering project collaborations with professionals across the globe.
  • Volunteered at the local chapter of Women in Data Science (WiDS), organizing talks and collaborative learning sessions on emerging data technologies.
  • Member of the analytics team for Hackathons organized by Northwind, where I led data visualization efforts and clustering analyses.
  • Participated in a business analytics mentorship program via HubSpot, focusing on marketing analytics, reporting tools, and ad-spend optimizations.
  • Member of the Data Science Association, contributing to workshops and networking events focused on advanced machine learning techniques.
  • Completed Applied Data Science Fellowship at Ironclad Systems, presenting a final project related to time series forecasting.
  • Joined the program Data Science Meetup, contributing to expert panel discussions on data modeling techniques and effective A/B testing strategies.

Certifications

  • Advanced Excel Essentials for Data Science (edX)
  • Advanced SQL for Data Scientists (DataCamp)
  • IBM Data Science Professional Certificate
  • SHRM Senior Certified Professional (SHRM-SCP)
  • SQL for Data Analysis (Mode Analytics)
  • Apache Spark and Scala Certification (Udemy/Databricks)
  • CompTIA A+ Technician
  • Certified Business Analysis Professional (CBAP)
  • SHRM Certified Professional (SHRM-CP)
  • American Academy of Financial Management (AAFM)

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