Driven Data Scientist, poised to excel in demanding digital intelligence setting. Ready to combine a tireless hunger for new skills with a strong desire to exploit cutting edge data science technology. Flexible and adapt…
Driven Data Scientist, poised to excel in demanding digital intelligence setting. Ready to combine a tireless hunger for new skills with a strong desire to exploit cutting edge data science technology. Flexible and adaptable with a track record of success in cooperative problem solving and statistical modelling.
• Research and Developed appropriate Machine learning models to forecast energy demand of consumers for Kikker Energy. Kikker energy is a renewable energy supplier in the Netherlands. Significantly increased accuracy rates compared to prior models, delivering measurable improvements in forecasting precision.
• Leveraged Python and SQL for comprehensive data fetching and processing.
• Applied statistical methods to identify trends, patterns and relationships and used to refine forecasting model.
• Implemented supervised machine learning method for predictive models and trained and fine‐tuned models with LSTM networks.
• Created data visualization graphics, translating complex data sets into comprehensive visual representations using Matplotlib.
• Integrated external variables via APIs and spearheaded Agile methodologies utilizing GitHub for collaborative project management.
• Deployed the model on Google Cloud Platform (GCP) using Docker, to handle large volume of data and optimize its performance.
Researched and developed machine learning models to forecast energy demand of consumers for Kikker Energy.
Significantly increased accuracy rates compared to prior models, delivering measurable improvements in forecasting precision.
Leveraged Python and SQL for comprehensive data fetching and processing.
Applied statistical methods to identify trends, patterns and relationships and used to refine forecasting model.
Implemented supervised machine learning method for predictive models and trained and fine-tuned models with LSTM networks.
Created data visualization graphics using Matplotlib.
Integrated external variables via APIs.
Spearheaded Agile methodologies utilizing GitHub for collaborative project management.
Deployed the model on Google Cloud Platform (GCP) using Docker to handle large volume of data and optimize its performance.
Analyzed sales and industry trends using Microsoft Excel.
Inspected products to assess compliance with quality standards and established tolerance.
Worked alongside to boost sales by enhancing product presentation and advertising collateral.
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