Project Name: EV Copper Prediction
Determine the feasibility of transitioning 50% of all vehicles sold in 2030 from ICE vehicle to fully electric. Leverage time series forecasting to predict total vehicle sales as well as total US, and world copper production to 2030. Utilize models including deep learning neural nets and linear regression. Project includes slide presentation and white paper displaying the results.
I am fully capable of prioritizing requirements and utilizing the latest technologies aimed at driving elegant and creative solutions across a wide range of projects. I am comfortable in both collaborative and independent roles as I offer refined analytical and critical thinking skills that drive efficiency across different procedures.
conducting in-depth data analysis, finding creative solutions and communicating them to stakeholders or team members.
Innovative, collaborative, dependable
Challenging, educational, innovative