R Shiny dashboard exploring Apple’s reported greenhouse gas emissions (FY2015–FY2022) . Data compiled by Maven Analytics.

Investigating whether ESG-score and/or firms committed to SBTi have an effect on financial performance of US stocks

An R package for calculating quantitative SDG and ESG impact metrics for the mining, minerals and metals sector (GRI/SASB aligned).

A reproducible data pipeline for analyzing and managing electricity demand ramps in England & Wales (2009–2024). Integrates risk metrics, Monte Carlo hedging simulations, and ESG-aligned dashboards to support portfolio optimization and policy evaluation in the electricity market.

ESG analytics starter (EU/CEE, WDI) — reproducible pipeline, plots, OLS, and a mini Shiny app with robust E-metric fallback. R • Python • SQL.

Driven by my passion for ESG, this project "Rise & Forecast," is dedicated to predicting sea level rise based on temperature changes and Shared Socio-economic Pathways (SSP).

Interactive R Shiny Dashboard analyzing ESG scores and CO2 emissions for 30 global companies (2021-2023).

R-based OLS regression proving ESG scores reduce DAX market volatility by 1.42% per point (R²=8.4%). Tools: quantmod, ggplot2.

My first-ever data analysis project from year 2020 - examining the relationship between a corporations's ESG compliance and its financial performance