Abderrahmen Djebbi

Designed intelligent e-commerce chatbots using Google Cloud Vertex AI Agent Builder, leveraging cross-selling and upselling strategies to enhance user experience and boost sales.
Developed and integrated Google Cloud Functions to retrieve real-time data from WooCommerce, enabling the chatbots to handle product availability, stock updates, pricing, delivery information, and personalized recommendations dynamically.
Created modular OpenAPI tools with detailed JSON schemas, standardizing cloud function integration and enabling advanced e-commerce interactions.
Built specialized agents (e.g., product recommendations, order tracking, and personalized offers) and orchestrated them into a unified agent, delivering seamless and cohesive user interactions.
Implemented OAuth-based secure authentication workflows and optimized API integrations, ensuring high performance and compliance with cloud infrastructure standards.

•Designed intelligent e-commerce chatbots using Google Cloud Vertex AI Agent
Builder, leveraging cross-selling and upselling strategies to enhance user
experience and boost sales.
•Developed and integrated Google Cloud Functions to retrieve real-time data from
WooCommerce, enabling the chatbots to handle product availability, stock updates,
pricing, delivery information, and personalized recommendations dynamically.
•Created modular OpenAPI tools with detailed JSON schemas, standardizing cloud
function integration and enabling advanced e-commerce interactions.
•Built specialized agents (e.g., product recommendations, order tracking, and
personalized offers) and orchestrated them into a unified agent, delivering seamless
and cohesive user interactions.
•Implemented OAuth-based secure authentication workflows and optimized API
integrations, ensuring high performance and compliance with cloud infrastructure
standards.

Transformed raw company data from multiple tables into meaningful insights by creating additional calculated columns and new tables, leveraging advanced SQL queries for data enhancement and enrichment.
Built interactive dashboards using Looker Studio, enabling stakeholders to visualize and make data-driven decisions effectively.
Designed and deployed machine learning algorithms (e.g., Random Forest, Gradient Boosting, XGBoost, CatBoost, and LightGBM) to predict the number of transfers, improving forecasting accuracy.
Developed an optimization function with Python and Django to determine optimal daily exchange rates, increasing client acquisition and revenue.
Utilized SQL and SSMS for robust database management and optimized data retrieval processes.

•Transformed raw company data from multiple tables into meaningful insights by
creating additional calculated columns and new tables, leveraging advanced SQL
queries for data enhancement and enrichment.
•Built interactive dashboards using Looker Studio, enabling stakeholders to visualize
and make data-driven decisions effectively.
•Designed and deployed machine learning algorithms (e.g., Random Forest, Gradient
Boosting, XGBoost, CatBoost, and LightGBM) to predict the number of transfers,
improving forecasting accuracy.
•Developed an optimization function with Python and Django to determine optimal
daily exchange rates, increasing client acquisition and revenue.
•Utilized SQL and SSMS for robust database management and optimized data retrieval
processes.

Designed and developed an interactive aviation dashboard using Power BI and DAX, providing enhanced visibility into key aviation metrics.
Implemented and deployed machine learning models, including LSTM with Python, to forecast expenses, supporting strategic financial planning and resource allocation.
Conducted advanced data transformations and optimized database performance using SSMS, improving operational efficiency.

•Designed and developed an interactive aviation dashboard using Power BI and DAX,
providing enhanced visibility into key aviation metrics.
•Implemented and deployed machine learning models, including LSTM with Python,
to forecast expenses, supporting strategic financial planning and resource allocation.
•Conducted advanced data transformations and optimized database performance using
SSMS, improving operational efficiency.

Designed and developed a web application to streamline the management of bottle purchases and resale to companies in need, optimizing supply chain operations.
Integrated an intuitive user interface using HTML, CSS, and JavaScript, enhancing usability and user engagement.
Built a robust backend with ASP.NET MVC and SQL, ensuring efficient data handling and secure transactions.
Conducted database optimization using MySQL, improving query performance and data retrieval speed.

•Designed and developed a web application to streamline the management of bottle
purchases and resale to companies in need, optimizing supply chain operations.
•Integrated an intuitive user interface using HTML, CSS, and JavaScript, enhancing
usability and user engagement.
•Built a robust backend with ASP.NET MVC and SQL, ensuring efficient data
handling and secure transactions.
•Conducted database optimization using MySQL, improving query performance and
data retrieval speed.