Data Scientist supporting University teaching, research, and operations.

• Apply machine learning to business operations for internal decision making• Develop object detection and image classification systems for environmental survey efforts• Develop tools for processing bioacoustic audio files to extract wildlife calls• Work with interns and direct reports to deploy models as apps

•Proficient languages: Python, R, Unix/Linux, Jupyter notebooks, Rnotebooks, RStudio; Basic languages: bash, C, JAGS, Stan, SQL, MCMC•R: ggplot2, tidyverse, lme4, rmarkdown, bold, ade4, BEST, Geospatial Modeling Environment, sp, rgdal •PYTHON: pandas, scikit-learn, matplotlib, seaborn, streamlit, heroku, arcpy, qiime, altair, Anaconda•Techniques: machine learning, random forest classification, logistic regression, GLMMs, AIC, bioinformatics, hypothesis testing, customer segmentation, quality filtering, k-means unsupervised learning, EDA, Fedora Linux OS, Ubuntu OS, Bayesian inference, GitHub, BLAST, FASTQC, FASTX, SWARM clustering, Ion Torrent & Illumina MiSeq NGS, ArcGIS, Open Science framework, machine learning, prediction, inkscape visualization,KS test, nonparametric testing, MANOVA•Developed a random forest classification model to predict churn of registered nurses at 184 hospitals in Illinois•Engineered features related to staffing metrics, patient satisfaction, and employee ratings, scraping reviews from Glassdoor and combining with Illinois Hospital Report Cards, Medicare, and census data•Deployed a Streamlit web app via Heroku, for hospital administrators to predict churn rates in relation to staffing metrics and employee sentiments and gain insights on focal areas to save at least $40k per nurse•Extracted feature importances and developed into a front-end web application: http://betterchurn.herokuapp.com•Gave critical feedback to 39 other fellows about their prediction, classification, path optimization, and computer vision projects; particularly about business cases, model evaluation metrics, and visualizations

•Prepared 3 next-generation sequencing (NGS) runs targeting insect DNA in feces of 166 bats; clustered and filtered over 31,000,000 short reads to assign taxonomy for over 700 insect prey types eaten by bats•Developed an Rmarkdown tutorial for DNA analysis, combining R, python, bash, and Unix code for entry-level users to replicate the bioinformatics process; used by at least 12 other graduate students•Led teams to track foraging bats with radio telemetry over 4 summers and used kernel density estimation to programmatically estimate115 bat foraging areas (R and GIS) from VHF radio telemetry data, allowing analysis of overlap with forest management and development (Python and GIS)•Co-authored 9 manuscripts and secured over $36,000 in external grants; communicated results at >20 local, regional, and national conferences, winning 3 awards•Selected to attend a 10-day Bayesian Short Course at the National Socio-environmental Synthesis Center and for a 1-year fellowship with the Airport Cooperative Research Program

•As-needed contract surveyor for endangered bat surveys: presence/absence mist-netting, foraging telemetry, data analysis, and reporting; some experience with bald eagle nest surveys as well.•Developed a solid business sense relating survey data to gas, oil, and wind development to advise and analyze environmental data for client reports and presentations

•Managed teams to conduct presence/absence surveys of endangered bats with mist-netting and ultrasonic acoustic recording; often navigating in remote and rugged terrain, interacting with land owners, land agents, and clients; assisted with wetland plant surveys

•Working with undergraduate students for 1–2 weeks each summer in Costa Rica; intensive study design, research, presentation, and writing

•Collaborated on international wildlife research—building capacity and connecting the right people with different skills to maximize efforts on under-funded projects to study human-wildlife conflicts •Managed teams of up to 10 people at remote field sites; substantial ideation, grant writing, field work, analysis, data management, reporting, and museum curation •Demonstrated written and oral communication to secure over $20,000 in external grants, co-author 4 publications, and deliver 12 presentations at international conferences, many scope of work and sampling protocols

•Research technician running pre-clinical RAD and ADME studies following GLP protocols; radio-active and controlled-substance certified•Developed study process management and clean laboratory benchwork practices

•Summer field biologist responsible for surveying loon populations on New Hampshire's Lake Winnepesaukee and all lakes and ponds North of the White Mountains •Mapping loon territories, tracking nest success, and obtaining leg band recoveries required extensive travel in rugged terrain to access waterways with significant problem-solving and outdoor skills •Interacted with concerned citizens often and with public groups during outreach events such as wildlife festivals and gala fundraising events

•Worked in the peptide synthesis lab, loading machines and software for custom peptide synthesis, some cleavage and precipitation to add special amino groups, some mass spectrometry