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Skills

  • Team management
  • Continuous curriculum enhancement based on feedback
  • Process improvement
  • Customer service
  • Planning and coordination
  • CCTV
  • Proficient in QuickBooks
  • Developing interactive coding labs
  • Data-driven decision making
  • Materials preparation

Work Experiences

  • Achieved results over 18 semesters.
  • Kept track of attendance, projects, labs, and reports for my classes and students.
  • Addressed student challenges in data wrangling techniques.
  • Analyzed student performance data.
  • Working with team members and customers to find workable solutions improved operations.
  • Kept the classroom focused on academic and intellectual discussions to improve students' critical thinking skills and understanding of the materials presented.
  • Answered 9 phone calls per three years to assist customers.
  • Assisted with resume building and interview preparation.
  • Assisted in the creation of program procedures.
  • Automated data validation processes using Python scripts to assist in grading, reducing manual intervention by 56%.

Summaries

  • Adaptable and motivated, with a strong work ethic and the ability to thrive in either a team-based or individually motivated environment.
  • Accomplished in mentoring students.
  • Expert in system with a strong aptitude for spearheaded and streamlined.
  • Achieved 77% proficiency among participants.
  • Data Science Teaching Assistant is a newly graduated Data Science Teaching Assistant who is excited to work with new students who are eager to learn about the field.
  • Able to translate complex information into simple terms.
  • Data Science Teaching Assistant and team leader with 8 years of experience in category settings.
  • Achieved a 63% increase in overall grades.
  • Instructor, project manager, and research leader extraordinaire.
  • Achieved a 54% rise in student satisfaction.

Accomplishments

  • Tracked student progress using learning analytics to offer personalized areas of improvement, enhancing overall understanding and engagement by 20%.
  • Led coding workshops focusing on data wrangling techniques, which resulted in 41% of students completing exercises with fewer errors.
  • Supervised and graded final student projects focused on real-time data streaming, with 46% attaining high distinctions or industry recognition.
  • Assisted in the grading of Python assignments for a class of 16 students, ensuring timely and constructive feedback to foster individual student growth.
  • Led weekly live coding demonstrations for 6 students, enhancing engagement and concept comprehension by 53%.
  • Provided instructional support in real-time through virtual office hours and forums, resolving students' questions with an average response time of 14 minutes.
  • Created additional Python tutorials on time-series forecasting, increasing comprehension by 78% across all enrolled students.
  • Created Python-based coding exercises on K-means clustering to help students grasp complex machine learning concepts, directly boosting exam scores by 52%.
  • Collaborated with cross-functional teams of instructors to revise curriculum, which improved course delivery and increased student satisfaction by 69% points.
  • Utilized version control tools like Git to streamline project submission and review processes, ensuring a 26% improvement in assignment tracking and feedback turnaround.

Affiliations

  • Graduate Research Assistant, category Department of Computer Science, 2023–2020
  • Teaching Assistant, Applied Artificial Intelligence Lab at process, 2016–Present
  • Member, Association for Computing Machinery (ACM), Special Interest Group on Data Science (SIGKDD), 2021–Present
  • Member, Python Software Foundation (PSF) 2024-Present
  • Co-organizer, Local Python User Group Meetups, Atlanta, 2022–Present
  • Volunteer, Data Science Bootcamp Instructor for Underrepresented Groups, Austin, 2024–Present
  • Participating Member, Global AI and Data Science Online Communities, 2020–Present
  • Participant, Kaggle Data Science Competitions, 2018–Present
  • Member, American Statistical Association (ASA) 2016 – Present
  • Technical Reviewer, Data Science for Business Textbooks at program, 2018–Present

Certifications

  • Certified Data Science Specialist (CDSS) - Harbor & Co.
  • Apple Certified Associate (ACA)
  • IBM AI Engineering Professional Certificate
  • Certified SQL Data Analyst – method
  • Postgraduate Diploma in Data Science – Northwind
  • Master's Degree in Data Science – system
  • Certified Public Accountant (CPA)
  • Google Certified Professional Cloud Architect
  • Certified R Programming Professional – Summit Group
  • Hands-On Machine Learning with TensorFlow Certificate – Lakeside Partners

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