Programming &
Data Analysis
Python
Core Python & OOP Architecture: Classes, Logic and Data Structures.
R e RStudio
Statistical Modeling (Linear & Logistic Regression, GLM), Model Diagnostics & Forecasting. Custom functions and algorithms (Matrix operations, Loops).
Microsoft Excel 2
Advanced Data Analysis: Power Query, Pivot Tables, Dynamic Dashboards & Slicers, Complex Functions.
SQL
Querying (Select, Group By, Aggregations), DB Design (E-R Model), Data Extraction.
C++
Procedural and structured programming (academic background). Code logic, variable management and loops.
LaTeX
Scientific and academic typesetting: structured documents, reports and presentations.
Tools
Render
Deployment
GitHub
Version Control
VS Code
Code Editing
Canva Pro
Design
Google Antigravity
Creative AI
Notion
Productivity
Overleaf
LaTeX Editor
Miro
Whiteboarding
draw.io
Diagramming
Claude Code
AI Coding
Soft Skills
Teamwork
Collaboration
Problem Solving
Critical Thinking
Team Management
Leadership
Business Planning
Strategy