Adel GUIZANI

Smart CV Analyzer Train an NLP model into the Back-End, efficiently process and analyze Skills Records and Mission Records data, while exposing AI model capabilities through REST APIs. Also ensuring the data transfert security by generating JWT tokens for the authentication. Enhance user interaction via client-side APIs, and unveil a powerful Matching Score computation optimized talent matching. This innovative NLP-driven solution revolutionizes CV analysis for smarter, more informed decision-making.

°KPI Manager : An application that focuses on streamlining the business's performance tracking and analysis. My task was developing the Back-End infrastructure, enabling the seamless calculation of essential Key Performance Indicators (KPIs). With a strong emphasis on data retrieval by implementing Query requests to extract the data based on the inputs you specify. I had also to design and develop the Front-End interface, making data visualization and interaction a breeze.

° Data Extraction and Analysis for QNB Bank : Efficiently extract and clean data from QNB Bank. Utilize advanced techniques to classify clientele using the K-Nearest Neighbors (K-NN) algorithm. Conduct an in-depth analysis of QNB's requirements to derive useful insights. Predict class associations with appropriate products and implement models on R for visualized results. This process empowers informed decision-making.

Neural Network-Driven Portfolio Optimization : Leverage advanced neural networks for optimizing the company's portfolio. Train a model using cutting-edge techniques and neural networks. Deploy a specialized function to calculate annual obligations, with a focus on maximizing the Sharpe ratio using a single LSTM layer with 64 units. Continuously update Inflows and Outflows to ensure precise insights.

Executed the migration of a comprehensive test suite to Jest, enhancing testing efficiency and reliability. Additionally, established an automated workflow to streamline this process seamlessly. Thoroughly implemented essential test cases to ensure robust functionality, contributing to improved code quality and overall software performance.

Programming Language & Framework : Java / Spring Boot / Python / Flask / Fast API / Node.Js / JavaScript / TypeScript / Angular / React. Database : PostgreSQL / MySQL / MongoDB. Methodology : Agile / Scrum / Kanban. SCM : Github / Gitea / Docker. Data : Data Mining / Machine Learning / Deep Learning / Statistics / Probability. Finance : Numerical engineering methods / Continuous models in finance and insurance / Stochastic processes / EDP for finance / Risk management & assesment.