Emily Schoof Bio

Emily Schoof is a seasoned Data Engineer at Pediatrix Medical Group with a rich background in healthcare and a passion for global initiatives. Her journey into the world of data science has been driven by a desire to broaden her international impact and apply her skills across industries.

With a strong foundation in healthcare, Emily's early career was marked by a commitment to scientific discovery and improving patient outcomes. She transitioned into the role of a Data Scientist, recognizing the power of data in making meaningful contributions on a global scale.

Throughout her career, Emily has been a proficient communicator, adept at crafting clear and insightful analytics reports tailored to diverse audiences. Whether presenting findings to scientists, physicians, stakeholders, or C-suite executives, she excels at translating complex data into actionable insights.

What sets Emily apart is her unwavering dedication to international, philanthropic initiatives. She consistently aligns her data projects and career choices with endeavors that seek to enhance the well-being of individuals worldwide. Emily's exceptional performance is most evident when she can actively participate in global efforts aimed at making a positive impact on lives across the globe.

Experience

• Azure Data Engineer at Pediatrix Medical Group (Sep 2022 - Present)

  • Helped me get this job through LinkedIn
  • Physician-led health care organization specializing in women's and children's clinical services.

• Data Engineer, Co-Author at Packt (Jul 2022 - Present)

  • Technical Book Title: "Building ETL Pipelines with Python"
  • Goal: To provide hands-on knowledge on creating production-grade, robust, and scalable data pipelines using Python.
  • Skills: Technical Writing, Graphic Design

• Data Science and Data Engineering, IA + SME at General Assembly (Apr 2021 - Present)

  • Instructional Associate (April 2021 - Present)
  • Subject Matter Expert (Oct 2022 - Present)
  • Cohorts: 1. April to June 2021, 2. March to May 2022, 3. September to October 2022
  • Skills: Teaching, Training, Organization Skills, Communication

• Data Engineer at UNICEF (Aug 2021 - Aug 2022)

  • Worked under the supervision of the ICT Manager, Solution Engineering.
  • Designed, built, and maintained data integration solutions and data management architecture.
  • Collaborated with application teams in building data pipelines and solution architecture.
  • Assisted in implementing high availability and disaster recovery for enterprise database systems.
  • Documented processes and procedures for completed solutions.

• Data Consultant (Feb 2021 - Jul 2021)

  • Department: Risk Analysis and Preparedness Section (RAPS), Office of Emergency Operations (EMOPS)
  • Contributed to the development of an automated system for near real-time media monitoring.
  • Used PySpark, R, Azure Data Factory, PostgreSQL, Azure Databricks, and more.
  • Skills: Process Improvement, Project Design, Intercultural Communication, Azure Databricks, SQL

• Data Scientist at Healthy Together (Nov 2019 - Oct 2020)

  • Contributed to a symptom-checking mobile application to aid COVID-19 contact tracing.
  • Regularly reported on features, marketing tactics, and user experiences.
  • Ensured privacy and security of citizen data.

• Data Science Community Volunteer at Springboard (Sep 2019 - Sep 2020)

  • Coordinated Data Science and UX Designers for monthly meetups.
  • Connected students, alumni, mentors, and associated individuals.
  • Guest speaker at Springboard's RISE Alumni Panel 2020.

• Data Scientist - Courses (Feb 2019 - Aug 2019)

  • Completed career-focused course material paired with mentor calls.
  • Mastered Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.
  • Focused on in-depth capstone projects.

• Volunteer at DataConLA (Sep 2019 - Sep 2020)

  • Volunteer at DataConLA, one of the largest data conferences in Southern California.
  • Hosted and moderated guest speaker e-talks and panel discussions.

• Data Science Researcher (Volunteer) (Sep 2019 - Nov 2019)

  • Conducted research on deep networks for medical image segmentation tasks.
  • Utilized Convolutional Neural Networks (CNN), TensorFlow, Keras, Segmentation, and Classification.

• Financial Analyst Contract at Viking Cruises (Nov 2018 - Jan 2019)

  • Analyzed customer feedback and its financial impact.
  • Presented results to the customer relations department.

• Business Analyst at HBS Management Group, LLC (Oct 2017 - Oct 2018)

  • Managed accounting records and accounts receivable/payable.
  • Presented financial reports to investors and stakeholders.

• Research Associate I at Providence Health & Services (Apr 2016 - Jun 2017)

  • Conducted research on brain tumor cell types and managed IRB electronic records.
  • Increased inter-department communication and data sharing.

• Research Assistant Internship at California Polytechnic State University-San Luis Obispo (Jun 2014 - Apr 2016)

  • Contributed to the research and design of gluten-free beer.
  • Quantified protein production regulation in human immune cells.

• Middle Management at Avila Bay Athletic Club (Mar 2013 - Aug 2015)

  • Held various positions, including Swim Instructor, Lifeguard, Assistant Swim Coach, Kids Club, and Camp Coordinator.
  • Managed personal training records, customer transactions, and program design.

Education

Emily Schoof holds an impressive educational background:

• Bachelor of Science (B.S.) in Cell Biology and Anatomy

  • California Polytechnic State University-San Luis Obispo, 2015
  • Activities and societies: EMT Club, Pre-Health Professions Program

• Master of Data Science

  • Università degli Studi di Padova (School of Science, Department of Mathematics), 2022 - 2024

• Data Science Career Track, Information Technology

  • Springboard, 2019
  • Activities and societies: Women in Data Science, Power, and Engineering in Monterrey, Mexico; Girls in Tech, WomenHack, California, United States of America
  • Curriculum:
    • 550+ hours of curriculum, including video, articles, and hands-on projects.
    • Developed and continuously updated with and by industry experts, teaching in-demand skills.
    • Capstone Projects.
    • The curriculum covers data wrangling, data storytelling, inferential statistics, data visualization, machine learning, and big data.
  • Mentorship:
    • Weekly 1-on-1 mentorship by industry experts.
    • Mentor matched to student profile and goals, delivering relevant insight from the industry.
    • All mentors are active data scientists at top technology companies.
  • Admissions: < 20% acceptance rate.

• Certification in AWS Machine Learning

  • Udacity, Jun 2021 - Oct 2021
  • Activities and societies: AWS Machine Learning Scholarship, 2021 Recipient

Licenses & Certifications

• Tableau 10 Essential Training

  • LinkedIn, Issued Oct 2019

• Data Science Career Track

  • Springboard, Issued Aug 2019
  • Credential ID: 82017

• UCLA Core Flow Cytometry Key Operator

  • UCLA, Issued Jul 2016

• First Aid/CPR/Lifeguard

  • Avila Bay Athletic Club & Spa, Issued May 2013 (Expired Aug 2015)

Projects

• Kaggle SQL Summer Camp

  • Jun 2019 - Aug 2019
  • Associated with Springboard
  • Description:
    • June 25-27: Introduction to SQL, Part 1
      • A three-day course that covered the first part of Kaggle’s Intro to SQL course. Real datasets were used to learn the basics of writing SQL queries.
    • July 16-18: Introduction to SQL, Part 2
      • Completing the course and covering more complex topics, including data organization and joining data from multiple tables.
    • August 7: BigQuery ML one-day workshop
      • Introduction to BigQuery ML and building a simple model using SQL.
    • August 27-29: Advanced SQL
      • Working on the Advanced SQL course on Kaggle, focusing on optimizing queries, running functions over data subsets, and handling nested data structures.

• Assessment of Likelihood of Adolescent Maternal Mortality in Mexican States

  • Mar 2019 - May 2019
  • Associated with Springboard
  • Overview:
    • Emily took on a project inspired by 'Making our moms proud: Reducing Maternal Mortality in Mexico,' where she assessed the likelihood of adolescent maternal mortality by State in Mexico. This project aimed to predict the likelihood of adolescent maternal mortality based on key features, such as region population, GDP, local poverty level, education, and access to medical assistance. It was a significant contribution to understanding maternal health in Mexico.

• Immune Cell Profile of Patients Treated for In-Transit Melanoma With Intralesional Bacillus Calmette-Guérin (BCG)

  • Apr 2016 - Jun 2016
  • Associated with Providence Health & Services
  • Description:
    • This project involved studying the immune cell profile of patients treated for in-transit melanoma with intralesional Bacillus Calmette-Guérin (BCG). It explored the clinical response and immune cell phenotype analysis in patients receiving this treatment.

• Role of Binding Protein, 14-3-3, in the Regulation of RNA Deadenylation by Tristetraprolin (TTP) in Human Cells

  • Sep 2015 - Mar 2016
  • This project delved into the regulation of RNA deadenylation by Tristetraprolin (TTP) in human cells, focusing on the role of binding protein 14-3-3. It investigated how 14-3-3 association with TTP affected mRNA decay and deadenylase recruitment, providing insights into gene expression regulation.

• Development of a therapeutic Lactobacillus reuteri strain for probiotic use in Celiac Disease

  • Sep 2014 - Sep 2015
  • Associated with California Polytechnic State University-San Luis Obispo
  • Description:
    • This project aimed to develop a genetically modified probiotic strain of Lactobacillus reuteri for potential use in Celiac Disease treatment. It involved integrating a gluten-degrading enzyme into the bacterium's genome to explore alternative therapies for Celiac patients.

Skills
Emily Schoof possesses a diverse set of skills that span across various domains. Her proficiency includes process improvement, project design, intercultural communication, teaching, training, organization skills, communication, technical writing, and graphic design. Additionally, Emily has demonstrated strong leadership abilities and excels in data analysis, quantitative research, statistics, program management, and customer relationship management (CRM). She is adept at data visualization and programming in Python, with expertise in Azure Databricks and SQL. Emily is also skilled in using tools such as Slack, Ruby, Seaborn, PySpark, basic JavaScript, QuickBooks, Microsoft Excel, Microsoft Word, Microsoft Office, Tableau, teamwork, strategic thinking, time management, customer service, NumPy, Matplotlib, bash/command line, linear regression, problem framing, challenge-driven approaches, logistic regression, Apache Spark, and Convolutional Neural Networks (CNN).

Courses

• Beginner Spanish (A)
• Biochemistry (371)
• Cell Biology (452)
• Cleaning Data in Python
• Data Types for Data Science
• Deep Learning Fundamentals (Part 1) - Introduction to Neural Networks
• Deep Learning Fundamentals (Part 2) - Training your Neural Network
• Deep Learning Fundamentals (Part 3) - Applying your Convolutional Neural Network
• Deep Learning in Python
• Human Anatomy and Physiology (433)
• Immunology (426)
• Importing Data in Python
• Intro to Machine Learning: Bias and Regression
• Intro to Machine Learning: Classification, kNN, Cross-validation, Dimensionality Reduction
• Intro to SQL for Data Science
• Introduction to Data Science in Python
• Introduction to Data Visualization with Python
• Introduction to PySpark
• Introduction to Shell for Data Science
• Machine Learning with Python: Supervised Learning with Scikit-Learn
• Manipulating DataFrames with pandas
• Merging DataFrames with pandas
• Microbiology (225)
• Molecular Biology Lab (475)
• Network Analysis in Python (Part 1 & 2)
• Organic Chemistry Series
• Principles of Genetics (351)
• Principles of Physiology (361)
• Python Data Science Toolbox (Part 1 & 2)
• Statistical Thinking in Python (Part 1 & 2)
• Supervised Learning with Scikit-Learn
• Supervised Machine Learning in Python
• Unsupervised Machine Learning in Python

Organizations

• Women in Data Science, Power, and Engineering - Mexico

  • Member
  • May 2019 - Present
  • Description: Professional Training & Coaching for Women interested in Data Science in Mexico

• Women in Data Science

  • Member
  • Feb 2019 - Present
  • Description: The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. WiDS started as a conference at Stanford in November 2015. Website

• Girls in Tech

  • Member
  • Jan 2019 - Present
  • Description: Girls in Tech (GIT) is a global non-profit that works to put an end to gender inequality in high-tech industries and startups. GIT was founded in 2007 and is headquartered in San Francisco. The Girls in Tech global community is 43 chapters strong with an impact of more than 61,764 members in 32 countries. Website

• Remote Year - Pachamama

  • Member
  • Jan 2019 - Present
  • Description: Remote Year curates work and travel programs for professionals to see the world without having to quit their jobs. Pachamama embodies the concepts of earth and time, generosity and growth. She is seen as the protector of the land, watching over South America from the mountaintops. As you make your way through Santiago, Medellín, Lima, and Mexico City, you will feel her presence in the pulse of the people and learn to harness the power of life in your everyday experiences.

• Women Who Code

  • Member
  • Aug 2017 - Present
  • Description: Website

• The National Society of Collegiate Scholars

  • Member
  • Apr 2012 - Present
  • Description: Scholarship, Leadership, and Service

• Delta Epsilon Iota Academic Honor Society

  • Member
  • Feb 2012 - Present
  • Description: Recognition of Academic Excellence and Strong Leadership Qualities

• AP Scholar of Honor Award

  • Apr 2011 - Apr 2011

• American Society for Biochemistry and Molecular Biology

• Elpha