PhD (University of Cincinnati, US)
Latest news:
Spring 2021, I have joined to Cincinnati Children's as data scientist
December 2022: My talk at CCHMC R Users Group is available at https://github.com/maurosc3ner/intro2GIS_R_CCHMCDec2022
December 2021: I have earned my PhD degree!
Fall 2018: I have started my PhD at University of Cincinnati on GIS!
Contact:
Twitter : maurosc3ner
Email : correaem[at]mail[dot]uc[dot]edu
GitHub Portfolio
Code repositories where I highlight some all my learning-by-doing examples in Machine learning, Statistical Inference and Geospatial:
Geospatial
Geoprocessing (GDAL and Python)
https://github.com/maurosc3ner/geospatial_python_exercises
Earth Observation and Map Projections (R)
https://github.com/maurosc3ner/uspm25_2000_2018
Kriging interpolation (R)
https://github.com/maurosc3ner/twostagesampling_playground/blob/main/unit3/03-kriging-bivariate.md
Machine Learning
Main repo in ML (Python and R)
https://github.com/maurosc3ner/ml_python_playground
Algorithms Book (Sedgewick and Wayne)
Stastitical Inference
Main repo in Stats
https://github.com/maurosc3ner/appliedstats_playground
Statistical Rethinking Book (McElrealth)
https://github.com/maurosc3ner/statisticalrethinkingbook
Skills
Geospatial
IO & Pre-processing
ASC, NetCDF, TIFF, ENVI, GeoJSON, geocoding and Vector-like.
Tools: Rasterio, GDAL, GEE, folium.
Modelling
Hotspot analysis, Interpolation, spatiotemporal and space lag models, adjacency.
Tools: Pandas, NumPy, OpenCV, ITK.
Visualization
Tools: Leaflet, matplotlib, ggplot, VTK, threejs.
Machine Learning
Computer Vision
image restoration, DICOM,
equalization, edge detection, noise reduction, filtering, Fourier, geometric transformations.
Tools: Python (OpenCV), ITK.
Statistics & Data Science
Bayesian and regression analysis (poisson, logistic, survival).
Tools: Python (NumPy, pandas, geopandas), SQL,
R (GLM, lm4, dplyr, mgvc)
ML
PCA, NLP, Unsupervised and supervised learning, object detection and classification.
Tools: scikit-learn, keras.
Programming & Tooling
Programming
R, Python, SQL, BigQuery, HTML5, JavaScript, REST APIs.
Reporting
R Markdown, R Shiny, Jupyter Notebooks.
Team
JIRA, Trello, Slack, and GIT.
Certifications
AWS Cloud Practitioner.
Master SQL for Data Science.
Healthcare Analytics in R.
NumPy DS Essential Training.
Experience
Data Scientist
Cincinnati Children's Hospital Medical Center, US
05/2021–Current
• ETL pre-processing and enriching tasks in electronic health records using R.
• Development of geospatial models for health outcomes with tabular data and spatial lag.
• Data reduction of multidimensional data using PCA-based selection/percentile rank aggregation.
• Diagnostics and validation (cross-validation) of predictive models.
• Preparation of manuscripts and presentations for internal validation with clinical experts and publications.
Senior Software Engineer
Colombia's Center for Bioinformatics and Computational Biology (BIOS)
08/2014-01/2018
• Implemented hybrid App + SMS API to process user claims of Colombia’s healthcare system (~54k@2017) using natural language processing (openNLP) [el tiempo - daily newspaper][Apple Store][Play Store].
• Established and rolled out better development best practices including code review and readability guidelines, one-on-one meetings, version control, scrum and agile development.
• Promoted to Head of bioengineering 2015, led cross-functional teams of 10 – 20 employees to develop analytic frameworks: product life cycle, code reviews and deploys, project schedules and goals.
ATG - Software engineer
LiveVox, US
08/2013-07/2014
• Optimized 3+ key partnerships accounts (> 500K USD per year) main UI product through storyboard, wireframes, WOZ, and user stories.
• Created MVPs and maintaining production environments for key partnerships accounts.
• Implementation of GUI loggers for A/B testing purposes 3+ key partnerships accounts (> 500K USD per year).