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Candidate's Name
Data Scientist / Machine Learning PractitionerEXPERIENCEThe Bee Corp, Denver, COData ScientistJan 2018  April 2023Aided & managed the data science team in the creation of Verifli, a product that grades the health of beehives using infrared hive imagery & machine learning in the AgTech space, going from idea origination to market in less than nine months. Putting into production Queens Guard, a product used in evaluating the health of the queen bee, and QGPS, a product used in hive theft prevention. Trained models for Image segmentation. Performed customer discovery analysis, data collection via web scraping & APIs, and created visualizations.Data Science Consultant - Denver, COMarch 2017 - Jan 2018Gathered data via web scraping, performed data analysis, made statistical inferences, created visualizations, and interpreted the results in the healthcare, safety, & home improvement industries. ION Geophysical, Houston, TX & Denver, COProject Manager/Senior Processing GeophysicistJULY 2005 - JULY 2016Performed data analysis, data visualization, anomaly detection, transformation, and signal & image processing on seismic data, managing the projects status along the way and increasing productivity by 30% through an introduction of more efficient methods. Presented results to clients, communicating in a clear manner the algorithms applied to their data.EDUCATIONGalvanize Data Science Immersive, Denver, COData Science FellowDECEMBER 2016 - MARCH 2017Fast-paced and hands-on Data Science Immersive Program, grounded in Python.Missouri University of Science & Technology,Rolla, MOB.S. Applied MathematicsAUGUST 1996 - MAY 1999CAPSTONE PROJECTNature or Not?: Detection of Man-Made Structure from Satellite Imagery  Capstone ProjectTraining a convolutional neural network to recognize the presence of man-made structures in satellite images from around the globe. Denver, COPHONE NUMBER AVAILABLEEMAIL AVAILABLEgithub.com/Candidate's Name
LINKEDIN LINK AVAILABLEDATA SCIENCE & MACHINE LEARNINGExploratory Data Analysis, Data Munging,Web Scraping, Regression, Cross-Validation,Regularization, Gradient Descent,Hypothesis Testing, KNN, K-meansClustering, Decision Trees, Random Forest,Boosting, XGBoost, SVMs, Neural Networks,Ensemble Methods, Principal ComponentAnalysis, AWS, Feature Learning,Visualization, Anomaly Detection, ImageProcessingPROGRAMMING & ANALYSISPython (Pandas, NumPy, SciPy, scikit-learn,statsmodels, matplotlib, seaborn), Keras,TensorFlow, SQL/PostgreSQL, JupyterNotebook, Git, Github, Unix, C-shell scriptingGalvanize Data Science CurriculumStatistical Inference, Regression, Supervisedand Unsupervised Learning, Graph Theory,Recommendation Systems, DataVisualization, Big Data ProcessingAdditional Coursework:Coursera:Stanford UniversityCertificate: Machine LearningPyData:Web Development for Data Science