Data Scientist
Aws SagemakerTextSegmentation
At Cgnal, I analyzed and processed large volumes of energy sector data using advanced analytics and machine learning tools. My role involved designing scalable time series forecasting models and improving operational accuracy for client energy consumption predictions. I contributed to enhanced billing and customer segmentation through data science innovations.
• Processed a 2TB energy dataset with Python and Spark, reducing processing time by 50%.
• Developed and implemented forecasting models with XGBoost, Prophet, and Azure ML.
• Increased billing accuracy and refined segmentation by 30% for energy clients.
• Collaborated closely with technical teams to deploy scalable solutions.
At Cgnal, I analyzed and processed large volumes of energy sector data using advanced analytics and machine learning tools. My role involved designing scalable time series forecasting models and improving operational accuracy for client energy consumption predictions. I contributed to enhanced billing and customer segmentation through data science innovations. • Processed a 2TB energy dataset with Python and Spark, reducing processing time by 50%. • Developed and implemented forecasting models with XGBoost, Prophet, and Azure ML. • Increased billing accuracy and refined segmentation by 30% for energy clients. • Collaborated closely with technical teams to deploy scalable solutions.
2021 - 2022