nancy boukamel

1) Used Python together with NumPy and Pandas for feature engineering to ensure data quality. 2) Visualized the correlation and seasonality of temperature and load consumption to identify patterns and improve strategic decision forecasting. 3) Developed a PyTorch model in Python for long-term load forecasting with a robust performance. 4) Used Optuna for Bayesian hyperparameter optimization, improving model performance and generalization. 5) Collaborated in agile team using SCRUM.

1) Implemented complex SQL queries to extract, analyze, and transform data on Sparkasse Bank customers and their purchased services. 2) Enhanced the schema system for Sparkasse customers, leading to improved SQL performance. 3) Visualized the classification of products purchased by Sparkasse customers using k-means and t-SNE to gain insights into customer preferences. 4) Developed a financial product classification model in Python using XGBoost to enhance precise customer product segmentation.

1) Implemented dynamic dashboards for continuous visualization of natural resources in Sierra Leone using AngularJS, DynamoDB, and RESTful APIs. 2) Developed AWS Python Lambda functions for managing real-time delivery data in DynamoDB, connected with API Gateway for efficient triggering. 3) Orchestrated the real-time delivery tracking system using AWS Step Functions for seamless coordination of data processing tasks.