Antoine Dedave

• Reduced imbalance costs by several hundred thousand euros per year by developing, deploying, and maintaining multiple Machine Learning models for short-term (day-ahead, intraday) forecasting of electricity consumption (3 TWh/year portfolio) and solar power generation (500 MW photovoltaic portfolio).

• Developed quantitative methods to calibrate weather-related pricing premia across various customer contract types and durations, leveraging Monte Carlo simulations and advanced statistical modeling.

• Developed and deployed forward price curve models for the pricing of illiquid time horizons.

• Supported weather derivatives contracting by developing fair value pricing models.

• Benchmarked and managed several forecasting subcontractors for a 300 MW offshore wind farm, ensuring model accuracy and operational reliability.

• Designed and implemented real-time dashboards enabling traders to monitor PnL, risk exposure, and key performance indicators.

• Mentored Energy Management teams in Python programming and Data Science best practices.

• Developed, deployed, and maintained a Machine Learning algorithm for at-home detection of sleep apnea and sleep stage classification, using a novel jaw movement sensor.

• Designed and built the technical infrastructure and data processes for the product from the ground up, in collaboration with the CTO.

• Managed a team of two developers to build and deliver multiple supporting products, including a patient app, a doctor's platform, and a company website.

• Contributed to a patented technology and co-authored a medical study published in JAMA.

• Contributed to the development of the clinical interface for Cochlear's Active-T-Baha implant, enabling clinicians to fine-tune device settings for patients.

• Developed unit tests, integrated them into the CI/CD pipeline, and managed outsourced manual testing protocols with teams based in India.

• Gathered and integrated requirements from the Swedish stakeholder team into model development and delivery.