Data Scienttis

LEONARDO H HERNANDEZ-ESPINOZA

*********.***@*****.*** 408-***-**** Pinole, CA

https://www.linkedin.com/in/hernandez-leo US Permanent Resident - Green Card Holder

SKILLS

Statistical Analysis: Experimental Design, Hypothesis Testing, GLM, Mixed Effect

Models, Causal Inference, Predictive Modeling, Linear and Nonlinear Regression Analysis

Analysis Tools: Python (pandas, NumPy, matplotlib, Jupyter), R/ R Studio, tidyverse, Git, Spark, SQL

Trilingual: English, Spanish, French

EXPERIENCE

The Climate Corporation, Data Scientist (Contractor) August 2019 - August 2020

●Performed multiple exploratory data analyses (using Python and Spark), that included data wrangling and data quality control, on 16 years of crop and weather data.

●Used an object-oriented framework in Python to develop a process-based model to estimate growth rates in cereals in response to weather and location.

The Data Incubator, Data Science Fellow April 2019 - May 2019

●Selected from over a thousand applicants to participate in a rigorous data science program focused on real world experience using Python, SQL, Machine learning, and Spark.

●Used a machine learning approach to predict corn yields under future climate conditions. The model was trained using historical climate data and predicted future corn yield under two different climate change scenarios.

University of Nevada, Reno

Postdoctoral Scholar April 2017 - February 2019

●Designed and implemented greenhouse studies in with 500+ plants to evaluate the effects of drought and nitrogen on photosynthesis and water movement in tomatoes. Used R for data analysis, mixed effect models, and visualization.

●Used R to analyze the effects of nitrogen and drought on tomato roots by collecting data from 600+ samples

Research and Teaching Assistant July 2009 - December 2016

●Developed a semi-mechanistic model of photosynthesis based on greenhouse-derived data using R for data analysis and Python for model fitting

●Created a map of estimated photosynthesis rate using a greenhouse-derived model and environmental variables using ArcGIS and Python

EDUCATION

University of Nevada, Reno PhD in Environmental Sciences December 2016

●Dissertation: Effects of nitrogen on photosynthetic response and distribution of Bromus tectorum in the Great Basin

●Coursework: Advanced Linear Regression Analysis, Advanced Data Analysis, Experimental Design, Interdisciplinary Modelling, Ecological Modeling

San Jose State University MA in Organismal Biology August 2010

●Coursework: Hypothesis Testing, Ecological Sampling Design and Analyses, Intro to GIS/GPS for Geologic Applications, Advanced GIS/GPS Mapping

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