PhD Candidate

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Patcharaporn Maneerat Berkeley, CA 909-***-****

**********@********.***

Summary

Analytical professional with robust experience in data science, algorithm design, and model development. Strategic individual capable of conducting comprehensive analysis and research to define metrics, produce forecasts, and generate solutions. Capable of quickly adopting and leveraging modern methodologies, tools, and technologies. Technical Proficiencies

Languages: Python, SQL, MATLAB, Linux, Git, JavaScript, Maple, Mathematica Python

Packages:

NumPy, SciPy, pandas, scikit-learn, matplotlib, seaborn, obspy, TensorFlow, PySpark Data Science:

Tools:

Data Models, Statistical Analysis, Time Series Analysis, Linear Regression, Logistic Regression, Decision Tree, Random Forest Model, PCA, Clustering, Algorithm Development, Neural Network ArcGIS, QGIS, Poly3D, COMSOL Multiphysics, Google Earth Engine, Microsoft Office Experience Highlights

University of California, Berkeley, CA 2017 – Present PhD Candidate

Acquire and apply knowledge of current and emerging methodologies and techniques related to mathematics, data science, and engineering, to include algorithm design and development concepts, diverse analytical processes, and data science models. Conduct in-depth analysis on complex data to produce technical functions, models, and insightful metrics.

Created MATLAB functions to investigate the topography of the Indo-Burma Range Subduction Zone.

Utilized ArcGIS Pro, QGIS, and Topo Toolbox to analyze complex satellite data.

Designed and built a model that accurately predicted moment tensors based on data from historical earthquakes by analyzing seismic waveforms with Linux and validating the model with Bootstrap and jackknife testing.

Generated algorithms with Python to monitor landscape changes over time, leveraging GPS data and Delaunay Triangulation method to forecast second invariants, calculate strain rates, and uncover altered areas. Research Accomplishments

University of California, Berkeley, CA 2020 – 2020 Principles and Techniques of Data Science Student

Executed in-depth research in the novel Coronavirus, COVID-19 in partnership with a diverse team. Leveraged a variety of data science processes and tolls such as random forest models, historical time series analysis, and linear and polynomial regression.

Identified key factors and metrics in the spread of the disease by utilizing random forest models.

Formulated a seven-day forecast for confirmed infections and deaths in New York and across the United States by attempting various combinations of features in linear and polynomial regression models.

Applied p-values, R-squared, and RMSE to determine the best combinations of features that fit the observation data. Pomona College, Claremont, CA 2014 – 2017

Research Assistant

Collaborated with multifaceted professionals to study and evaluate potential factors for erosion related to the kinematic history and evolution of the San Andreas Fault System. Used ArcGIS and other MATLAB software.

Created MATLAB functions that were implemented and utilized in a topography study. Awards

Esper Larsen Jr. Research Grant, University of California Berkeley, 2020 Mason L Hill Award, Pomona College, 2017

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Education

PhD of Computational Geophysics in Earth and Planetary Sciences Expected 2022 University of California, Berkeley, CA GPA 4/4

Bachelor of Arts in Computational Geology May, 2017 Pomona College, Claremont, CA Honors

Presentations

1. “Geomorphic investigation of fold characteristics and linkage across the Indoburman Range”, American Geophysical Union Fall Meeting, 2020

2. “Geomorphic Expression of Active Tectonics across the Indoburman Range: Using GIS to investigate stream- and basin-scale geomorphic indicators to suggest active tectonics across the Indoburman Range”, American Geophysical Union Fall Meeting, 2018 & 2019

3. “Intra-slab Stress Field and Waveform Modeling to Determine Velocity Structure of the Indoburman Range”, Southern California Earthquake Center Annual Meeting, 2019

4. “Evolution of Long-Term Tectonics across the Indo-Burma Range: Using GIS to investigate active tectonics, tectonic uplift and erosion processes, and applying GPS data to obtain strain map and orientations along the Indo-Burma Range”, Canadian Geophysical Union Computational Infrastructure for Geodynamics Meeting, 2018

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