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Joel Silverman

Joel Silverman

Data Scientist

Hemex Health | Aptos, CA

Technologies

My Portfolio Highlights

My New Track

Associate Data Scientist

My New Project

Predictive Modeling for Agriculture

My New Course

Developing Machine Learning Models for Production

My New Track

Associate Data Scientist

Unlocking insights that make a difference in people's lives.

My Work

Take a look at my latest work.

github

A Project to Forecast Energy Demand in Texas.

PythonTheory
article

Masters Thesis: Geo-Statistical Modeling of Species Habitat Using Satellite Products, Field Observations, and Disturbance Processes Information

RTheory
github

Using AI to Select the Highest Quality Photos for Yelp Business Owners

PythonTheory
github

A Project to Forecast Energy Demand in Texas.

PythonTheory

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

General Assembly Data Science Immersive Certificate (500 hrs., Live Class Instruction))

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Introduction to R
Intermediate Python

My Work Experience

Where I've interned and worked during my career.

Hemex Health, Inc. | May 2023 - Present

Data Scientist

Developing algorithms based on immunoassay images to determine medical conditions. Identifying root cause challenges in medical diagnostic devices and supplies. Testing hypothesis, improving ETL processes, and writing complex scripts to clean, query, visualize, and analyze data. Translating business product requirements into actionable data requests.
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Hemex Health, Inc. | Nov 2022 - Apr 2023

Data Analyst

Data analysis, computer vision development, and algorithm design for medical diagnostic equipment.

WeaveGrid | Jun 2022 - Aug 2022

Business Data Analyst

WeaveGrid builds software to improve value proposition and safety for utility companies to serve electric vehicles, add renewable energy resources, and save customers money. The company's mission is to drive rapid decarbonization in the global transport and power sectors by intelligently connecting electric vehicles to the grid.

NASA - National Aeronautics and Space Administration | Jan 2006 - May 2008

Graduate Research Assistant

• Awarded NASA Research Assistantship. • Conducted research with scientists from NASA’s Earth Observation Science Program and applied scientists at NPS. • Used models for prediction and hypothesis testing relating to wildfire and invasive plant distribution. This required a literature review, extensive analysis of diverse GIS data types, and developing/optimizing statistical models. • Developed new methods for analyzing a complex series of raster and vector datasets to resolve issues of chronology and spatial autocorrelation in models that include disturbance processes as independent variables. • Conducted statistical analysis in R Programming Language and ArcGIS. • Utilized MODIS and LANDSAT imagery such as NDVI, EVI phenology, and dNBR burn severity products. Experience using elevation models, climate surfaces, distance surfaces, hydrologic data, vegetation coverages, geologic data, & transportation networks. • Gave professional presentations (oral and written) at conferences, symposia, and workshops.

My Education

Take a look at my formal education

Colorado State University
General Assembly
The Evergreen State College

About Me

Joel Silverman

Data Scientist with experience in medical devices, energy grid, image analysis, and biology. Skills include using machine learning / AI algorithms, supporting software development, performing statistical analysis, and designing experiments.

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