Daphne is a highly motivated big data analytic architect and SQL/Tableau developer with strong business analytic solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced collaborating with business users in data modeling and business analytic solutions.
Created a dimensional data model on MS SQL Server for supply chain analytics. It includes data preparation and data labeling, model features' selection, model algorithms, and hyperparameter optimization.
Designed an enterprise big data analytic platform solution using Pentaho PDI, Cassandra, Elasticsearch, and Grafana. Grafana is a big data visualization tool.
Provided data engineering tasks that refresh data to cloud storage using MS SQL Server, relational OLTP to OLAP transformation, and ETL tasks from MS SQL to NoSQL data lakes in Cassandra.
Implemented both Tableau and Power BI analytic visualization for supply chain management and a freight management system.
Implemented and completed data modeling of an enterprise data warehouse, data lakes, and ML/AI forecast models.
Used Facebook Prophet, a time series algorithms, AutoKeras classification, and Google TensorFlow to deliver an ML and AI solution to a logistics ground TMS system.
Delivered dashboards using both Tableau and Power BI for different clients/projects.
Delivered a data quality solution using PostgreSQL fuzzy string matching and Python FuzzyWuzzy libraries, cleaning data, and creating mapping groups for the machine learning model.
Designed and architected a supply chain carrier advisor ML solution that includes data labeling, features' selection, hyperparameter optimization, algorithms training, and carrier selection smart choices advisory to the supply chain management team.
Deployed the supply chain carrier advisor ML model based on TensorFlow TF-Ranking, AutoKeras, and Neural Network algorithms. Over a million records were trained in this model, providing a training result API and batch forecast result references.
Carrier Advisor is a machine learning project designed to advise carriers in a supply chain management system.
The project utilizes an AI and ML model built from OLAP data, including data labeling, feature selection, algorithm selection, and final production deployment using AutoKeras and TensorFlow TF-Ranking.
Data transformation from OLAP to prediction models was performed using Python and Pentaho PDI.
Education
Master's Degree in Computer Information Science & Engineering
