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Modeler skills for your resume and career

Updated January 8, 2025

4 min read

Below we've compiled a list of the most critical modeler skills. We ranked the top skills for modelers based on the percentage of resumes they appeared on. For example, 13.0% of modeler resumes contained python as a skill. Continue reading to find out what skills a modeler needs to be successful in the workplace.

15 modeler skills for your resume and career

1. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how modelers use python:

Convey data produced through statistical property value models into Vision CAMA II system using SQL and Python.
Added a programmable interface, which I later changed to python.

2. Revit

Revit, also known as Autodesk Revit, is computer software used by architects, structural engineers, and designers to perform building modeling tasks. Revit was designed to facilitate users, draw building modeling structures in a 2D and 3D format. Creating such models allows architects and engineers to pre-planning, scheduling, estimating the life of the structure and the entire cost of construction.

Here's how modelers use revit:

Use parametric modeling in Revit MEP 2012 to support the Electrical Design Department for international and domestic projects.
Created Revit model of the Nevada State College Student Services Central Plant.

3. BIM

BIM or Building Information Modelling is a process in which buildings, infrastructure, and other physical structures and places are translated into digital means, into various forms of computer files, 3D models, and digital plans.

Here's how modelers use bim:

Facilitate construction by applying BIM and CAD technologies in the design process.
Set up all systems for Building Information Modeling (BIM).

4. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how modelers use sas:

Developed predictive logistic regression models to examine customers default probability using SAS and Econometric techniques.
Engineered statistical SAS models, monitored trends, identified causality and derived forecasts.

5. Data Analysis

Here's how modelers use data analysis:

Developed data analysis tools to understand the contribution of exceeded ozone and PM2.5 in non-attainment areas from various sectors.
Lead the research and development efforts for big data analysis on the Hadoop framework.

6. Extraction

Here's how modelers use extraction:

Streamlined BASEL II compliance data extraction processes to reduce processing time by 80%.

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7. Predictive Models

In an effort to understand what could happen in the future, predictive models provide the statistical analytics to estimate the possibilities. With predictive modelling, relevant data is collected for the subject that requires forecasting, analysed and modelled to create different outcomes. The importance of this is to provide a basis for decision making that will foster a desired outcome for a business or government.

Here's how modelers use predictive models:

Consulted clients in project management and business integration of predictive models with exceptional customer service and attention to detail
Developed predictive models to estimate AERMOD output for air quality impact screening applications.

8. MATLAB

Here's how modelers use matlab:

Created tables, graphs, and figures in MATLAB, and provided literature support to explain why model is accurate.
Implemented the models in MATLAB and Java.

9. Data Preparation

Here's how modelers use data preparation:

Created Visual Basic programs to aid in data transfer and data preparation of market data for running statistical models.

10. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how modelers use java:

Modeled various engineering models in Java that provided users with aircraft design functionality.
Mapped data using Java Hibernate and MySQL database.

11. Statistical Analysis

Here's how modelers use statistical analysis:

Developed models using machine learning and statistical analysis to detect fraud.
Conducted statistical analysis on employee survey using factor analysis to uncover new insights and enlighten the managers of findings.

12. Model Validation

Model validation is a process of verifying that models are performing their intended purpose and checking the performance and accuracy of the model basis on previous data for which actuals are already gotten.

Here's how modelers use model validation:

Conduct research and analysis to resolve Regulator Matters Requiring Attention (MRA), Model Validation and Internal Audit review.
Conduct model validation upon request and provide written feedback.

13. Construction Drawings

Here's how modelers use construction drawings:

Delivered clash free 3D models of restraint systems to subcontractors and completed construction drawings that were used to install restraints.
Organize, distribute and use shipyard design and construction drawings in creating 3D models.

14. Math

Here's how modelers use math:

Designed using math data on Sun or SGI workstations.

15. Visualization

Here's how modelers use visualization:

Re-topololgized models for visualization purposes.
Managed consulting team to build D3.js and Machine Learning algorithm based visualization and analytical platform.

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What skills help Modelers find jobs?

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List of modeler skills to add to your resume

The most important skills for a modeler resume and required skills for a modeler to have include:

Python
Revit
BIM
SAS
Data Analysis
Extraction
Predictive Models
MATLAB
Data Preparation
Java
Statistical Analysis
Model Validation
Construction Drawings

Math
Visualization
Logistic Regression
Linear Regression
VBA
Regression
GIS
Maya
Statistical Models
Tableau
Business Process
Model Results
Sketch

FTP
CATIA
Time Series Analysis
Animation
ZBrush
Macro
Solidworks
HVAC
Securities
Shop Drawings
Production Environment
Calculation
UV

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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