Skills

Python:

- Python Data Structures (Use of Files, Lists, Dictionaries, Tuples, etc.)

- Data Visualization Using Matplotlib and Seaborn

- Using Python for ML Algorithm Like SVR, Sktime (For time series analysis and forecasting)

R:

- Data Visualization Using “ggplot2” R Package

- Integrating Rstudio and GitHub for Group Projects.

- Using R Packages Like “dplyr”, “devtools”, “R Markdown” and “tidyverse”, etc.

MATLAB:

- Design optimization with MATLAB

- Using GRABIT and other important MATLAB Functions

- Data Cleaning and Visualization with MATLAB

PLAXIS:

- Slope Stability Analysis

- Settlement Analysis

- Excavation Simulation, etc.

GeoStudio:

- Use of Slope/W for slope stability analysis

- Use of Quake/W for Earthquake Liquefaction and Dynamic Loading Analysis

- Using Seep/W and Sigma/W for Finite Element Analysis

ArcGIS:

- Processing of Vector, Raster and TIN Data

- Use of Important Geoprocessing Tools like Spatial Join, Zonal Statistics, Buffer, Clip, tabulate Area, etc.

- Effective Use of Geodatabase and Shapefiles with Appropriate Symbology

- Integrating Python with ArcGIS for Spatial Analysis

- Creating Professional Maps, and Map Packages.

AutoCAD:

- Basic 2D Drafting Using Various AutoCAD Tools

SketchUp:

- Creating 3D Drawings

- Use of Extension Warehouse and 3D Warehouse

LaTeX:

- Creating Publication-Quality Documents using LaTeX

- Use of TeXstudio with MiKTeX

- Use of BibTeX for Reference Management

- Use of Beamer for Presentation

Microsoft Office Tools:

- Data Analysis Using Microsoft Excel

- Proficiency Microsoft Word and Microsoft PowerPoint