MSc Statistics student | Interested in data science, statistical modeling & machine learning | Always learning new skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
gas-demand-forecasting
August 20, 2025 – August 20, 2025
R-based time series forecasting of monthly gasoline demand using ARIMA, SARIMA, and GARCH models, with an interactive Shiny dashboard for visualization and forecast reporting.
View ProjectClassical-Risk-Process-in-actuarial-science
August 20, 2025 – August 20, 2025
This Shiny app simulates the classical risk process in insurance. Users set capital, premium, and claim distributions to visualize surplus paths and estimate ruin probabilities, exploring how risk factors affect solvency in an interactive way.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in applying data science techniques to real-world problems, particularly in actuarial science and forecasting. The focus on R and Shiny suggests a preference for open-source tools and interactive data exploration. The projects are personal, indicating self-motivation and initiative. However, without team-based project experience or detailed descriptions of collaboration, cultural fit for a team environment is difficult to fully assess.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no assessment was completed.