Janie Hoormann
St Louis,MO
Overview
12
12
years of professional experience
Work History
Data Science Technical Lead
Bayer Crop Science
St. Louis, Missouri
02.2022 - Current
- Led team of 4 Data Scientists - providing technical, strategic, and career guidance
- Hiring committee member for 15 data scientist roles including 5 as the hiring manager
- Managed team project portfolio to ensure team met/exceeded all milestones
- Drove collaboration with regional teams to promote partnership to expedite global expansion of analytics usage
- 4x increase in number of global regions expanded to over previous year
- Led interdisciplinary, cross-department working group to reassess data usage/needs in machine learning/optimization models used to drive business decisions
- Invited to give industry highlight talk for an external conference, received 3 awards for contributions to projects by collaborators, and function wide top performer award
- Championed data science best practices to reduce technical debt and minimize ongoing maintenance cost of production models - reducing expansion and support time cost by 40%.
- Improved software development processes by introducing Agile methodologies and promoting cross-functional collaboration.
Data Scientist
Bayer Crop Science
St. Louis, Missouri
11.2019 - 02.2022
- Hiring committee member for 2 data science roles
- Founding committee member of a New Hire Onboarding program to help new hires network and learn about company culture and resources
- Collaborate cross-functionally to develop portfolio optimization software to automate plant breeding decisions- automated 80% of decisions and doubled the number of markets covered using data science models to drive decisions
- Incorporate optimization modelling to automatically allocate greenhouse resources
- Presented at 2 internal conferences and received 5 awards for contributions to projects by collaborators.
- Mentored junior team members in best practices for data science methodologies, fostering a culture of continuous improvement.
Postdoctoral Research Fellow
University of Queensland
Brisbane, Australia
08.2016 - 08.2019
- Supervised 4 student researchers (masters and Ph.D
- Candidates)
- Member of the Australian Dark Energy Survey (OzDES) Policy and Membership Committee
- Hiring committee member for academic research roles
- Led the OzDES Reverberation Mapping working group (10 scientists across Australia and the US) leading to the group's first published black hole mass measurements
- Developed publicly available data calibration and modelling code critical to the project's success
- Co-Investigator on 6 successful proposals for telescope/supercomputing time, author on 16 journal articles, presented at 9 conferences/universities
- Engaged in science communication with the general public through 11 invited public talks, contributing to an online magazine, as an expert consultant for news outlets, and through an appearance on science TV show
- Wrote custom data analytics software in Python - published on GitHub
- Performed a time series analysis using cross correlation functions to measure black hole masses.
Graduate Research Fellow
Washington University in St. Louis
St. Louis, Missouri
06.2012 - 07.2016
- Supervised 2 summer research students
- Co-organizer for 2 workshops
- Utilized simulation results to determine potential success of key science goals for a proposed NASA satellite mission
- Performed critical analysis of a balloon borne telescope design and implemented critical improvement necessary to ensure operation in flight
- Author on 4 journal articles and presented at 4 conferences/universities
- Wrote numerical simulations to perform predictive analysis of X-ray emission from around black holes in C++, Mathematica, and ROOT utilizing high performance computing systems.
Education
Ph.D. - Physics
Washington University in St. Louis
Master of Arts - Physics
Washington University in St. Louis
Bachelor of Science - Astrophysics And Mathematics
Baylor University
Skills
- Project Leadership
- Mentorship and Coaching
- Technical Strategy Development
- Project Management
- Automation methods
- Cross-Functional Collaboration
- Agile Methodology
- Written and Oral Communication
- Python (numpy, scipy, pandas, matplotlib, scikit-learn, PuLP), C, ROOT Data Analysis Framework
- GitHub, SQL, GCP, AWS, Domino Data Lab, Jenkins, Docker
- high performance computing systems
- time series analysis
- portfolio optimization
- Statistical methods like Monte Carlo analysis, regression models, hypothesis testing, bootstrap resampling, data cleaning and visualization
- machine learning using Gaussian processes, classification methods, decision trees/random forests
Management Experience
4, 6, 5, 15
Communication Experience
16, 20, 6, 11, True, True, True
Technical Experience
Python (numpy, scipy, pandas, matplotlib, scikit-learn, PuLP), C++, ROOT Data Analysis Framework, Mathematica, FORTRAN, shell scripting, git, SQL, GCP, AWS, Domino Data Lab, Jenkins, Docker, high performance computing systems, time series analysis, portfolio optimization, Monte Carlo analysis, regression models, hypothesis testing, bootstrap resampling, data cleaning and visualization, machine learning using Gaussian processes, classification methods, decision trees/random forests, Python (numpy, pandas, matplotlib, PuLP) and SQL, AWS, GCP, Jenkins, Docker, GitHub
Github
github.com/jhoormann
Leadership Experience
True, 6, True
Timeline
Data Science Technical Lead
Bayer Crop Science
02.2022 - Current
Data Scientist
Bayer Crop Science
11.2019 - 02.2022
Postdoctoral Research Fellow
University of Queensland
08.2016 - 08.2019
Graduate Research Fellow
Washington University in St. Louis
06.2012 - 07.2016
Ph.D. - Physics
Washington University in St. Louis
Master of Arts - Physics
Washington University in St. Louis
Bachelor of Science - Astrophysics And Mathematics
Baylor University