Learn Statistics the pratical way without confusion : - From Fundamentals to Real Applications.

About Me I work in energy market analytics and forecasting, where I build quantitative models used to analyse and predict electricity market behaviour. My work focuses on forecasting electricity demand, renewable generation (such as solar and wind), and power prices across regions including Europe and Japan. These forecasts are used for market analysis, planning, and decision-making in complex power systems. Working in this environment requires combining statistical methods with domain knowledge of electricity markets. My technical background is centred on statistics, time-series analysis, and machine learning. I regularly build forecasting models,stochastic models, and machine learning models designed for structured data. A large part of my experience also involves working with large datasets and automated modelling pipelines. This includes developing scalable forecasting systems, evaluating model performance across thousands of time series, and improving accuracy through better feature engineering and model selection. My Teaching Style My teaching approach is structured, practical, and focused on problem solving. Rather than relying only on theory, I emphasise understanding how analytical methods work when applied to real datasets. 1. Building Strong Intuition 2. Step-by-Step Learning 3. Real-World Applications 4. Hands-On Practice. 5. Focus on Practical Tools 6. Encouraging Analytical Thinking Overall, my objective as a tutor is to help students develop both conceptual clarity and practical skills, so they can confidently apply data analysis, statistical methods, and forecasting techniques to real problems.