Technical Skills

Programming

  • Python
  • MATLAB
  • SQL
  • Git & GitHub
  • Jupyter Notebook

Data Science & Machine Learning

  • Data Cleaning and Preprocessing
  • Exploratory Data Analysis (EDA)
  • Statistical Modeling
  • Supervised Learning
  • Unsupervised Learning
  • Time-Series Analysis
  • Feature Engineering
  • Model Evaluation
  • Predictive Analytics

Power Systems

  • Power System Analysis
  • Power System Protection
  • Load Forecasting
  • Smart Grid Technologies
  • Distribution Automation
  • Renewable Energy Integration
  • Condition Monitoring
  • Transformer Diagnostics
  • Asset Management
  • Grid Reliability Analysis

Statistics

  • Probability Theory
  • Regression Analysis
  • Hypothesis Testing
  • Experimental Design
  • Bayesian Statistics
  • Multivariate Analysis

Data Visualization

  • Matplotlib
  • Plotly
  • Power BI
  • Microsoft Excel

Software & Engineering Tools

  • Microsoft Office
  • LaTeX
  • Linux
  • Visual Studio Code

Research Skills

  • Literature Review
  • Scientific Writing
  • Data Analysis
  • Reproducible Research
  • Technical Documentation
  • Research Presentation

Professional Skills

  • Analytical Problem Solving
  • Critical Thinking
  • Technical Communication
  • Project Planning
  • Team Collaboration
  • Continuous Learning

Current Learning

I am continuously expanding my expertise in AI-enabled power and energy systems, with particular interests in:

  • Deep Learning for Power Systems
  • Explainable AI (XAI)
  • Graph Neural Networks
  • Digital Twins
  • Physics-Informed Machine Learning
  • Cyber-Physical Energy Systems
  • Large Language Models for Engineering Applications