Alexandra Buczek, Ph.D.

Experience

• 

  Brown University

  Jan 2013 - May 2016

  Undergraduate Research Assistant

  Advisor: Christine JanisTopics of Study: Vertebrate Paleontology; Functional Morphology

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  American Museum of Natural History

  May 2014 - Aug 2014

  Undergraduate Research Intern

  Advisors: Michael Novacek and Paul Velazco Topics of Study: Vertebrate Paleontology; SystematicsAssisted in coding morphological characters for Mesozoic mammals using computed tomography. Constructed phylogeny of eutherian mammals.

• 

  University of Bristol

  May 2015 - Aug 2015

  Undergraduate Research Intern

  Advisors: Michael Benton and Tom StubbsTopics of Study: Vertebrate Paleontology; MacroevolutionConduct secondary research pertaining to macroevolution in Paleogene birds. Conduct analyses pertaining to macroevolutionary trends using R.

• 

  American Museum of Natural History

  Jul 2015 - Aug 2015

  Undergraduate Research Assistant

  Advisors: Michael Novacek and Paul VelazcoTopics of Study: Systematics; Vertebrate PaleontologyAssist in coding morphological characters of cynodonts using computed tomography and scanning electron microscopy. Construct phylogeny of cynodonts.

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  American Museum of Natural History

  Jul 2018 - Sept 2020

  • Cleaned research data using Python• Used K Means Clustering and Hierarchical Agglomerative Clustering algorithms to analyze ecological data• Applied statistical and ordination techniques to interpret gathered data using R and Python• Employed Jupyter Notebooks and shared 4 coding pipelines on GitHub• Created data visualization graphics, translating complex data sets into comprehensive visual representations• Leveraged highly effective communication and active listening skills to work effectively with scientists of diverse backgrounds and accomplish common research goals• Presented information regarding ecological research to groups of 40+ people.• Researched and wrote a first author technical article on paleoecology for a peer-reviewed scientific publication (GSA Bulletin) Show less Lang Science Program• Created lectures and planned learning activities to facilitate understanding of scientific method for up to 20 high school students• Evaluated and revised lesson plans and course content to facilitate and moderate classroom discussions and student centered learning• Enhanced student learning by optimizing wide range of instructional approaches and innovative classroom activities.• Implemented and encouraged debate-style classroom environment to increase student engagement and promote critical thinking Show less

  • Scientific Researcher/Doctoral Candidate

    Sept 2016 - Sept 2020

  • Science Educator

    Jul 2018 - Dec 2018
• 

  Hunter College

  Aug 2018 - Dec 2018

  Adjunct Professor

  CSci 127 - Introduction to Computer Science• Taught Introduction to Computer Science lab section, providing instruction to up to 30 undergraduate students• Instructed students using discussions and demonstrations in Python and C++

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  Albert Einstein College of Medicine

  Jan 2021 - Oct 2021

  Postdoctoral Research Fellow

  -Extracted datasets from a 76GB database using SQLite-Constructed time series from medical data-Completed statistical analyses and significance tests-Utilized logistic regressions to determine most important variable for predicting medical conditions-Managed research team of 12 people-Trained and mentored research team members in data cleaning and analysis-Automated data cleaning and analysis pipelines using Python

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  CVS Health

  Nov 2021 - now

  -Utilized Hadoop, Teradata, and BigQuery to compile and clean complex data sets-Built and optimized NPS predictive model in Python using 100+ custom built features-Assessed accuracy and effectiveness of new and existing data sources to gauge utility in internal data products-Worked closely with stakeholders of diverse backgrounds to determine best data sources and analyses needed to achieve business goals-Analyzed customer experience data and financial metrics to size business opportunities in the member experience space and determine the role of customer experience in product utilization -Created visualizations and constructed roadmaps to communicate results of deep dive data analyses with teams of varied technical backgrounds up to SVP level executives-Completed power analyses, audience sizing, and experimental design for customer-facing marketing campaigns-Designed novel campaign design using k-means clustering model to customize member outreach based on user archetypes-Led team of four data scientists in construction of four predictive models to determine the top drivers of customer experience-Engineered AI prompts using ChatGPT-4 to summarize and categorize customer care transcripts with 90+% accuracy-Identified $100M annually in customer-care cost savings using generative AI transcript analysis-Coordinated and planned leadership and full team meetings and problem-solving sessions as acting Chief of Staff Show less

  • Digital Product Manager

    Apr 2024 - now

  • Senior Data Scientist

    Nov 2021 - Apr 2024