An experienced IT Engineer looking for my next challenge in helping organisations make data-driven decisions. Through my formal studies and personal projects, I have developed technical and analytical skills to make models, dashboards, and analyses that have an impact.After several years in IT support, I've had the opportunity to upskill in a more technical coding direction by studying at Code Academy Berlin. Learning skills in:| Python | Numpy | Matplotlib | Pandas | | Seaborn | Storytelling | Scikit-Learn | SQL || Tableau | FBProphet | Data Pipelines | Deep Learning || Lambda | S3 Buckets | Dash | Streamlit | Where I worked on real-world datasets leveraging Machine Learning and AI to solve:- Classification Problems : predicting a wine's 'quality' rating from its chemical composition- Regression Problems : predicting a bike share company's daily users using lagged features, weather, domain knowledge- Forecasting : predicting a community's energy consumption using climate features, seasonality, lagged features