Yosri Abdedayem

Market Intelligence AI Module for Salesforce Designed an AI-driven system to convert unstructured market signals into contextual, decision-ready intelligence embedded directly within Salesforce. The project focuses on operational market intelligence, not standalone analytics — ensuring insights are delivered where business teams already act. Scope & Capabilities – Continuous analysis of external and internal signals relevant to Salesforce operations – Detection of emerging patterns and weak signals impacting opportunities and risks – Business-level assessment of relevance and potential impact – Synthesis of insights into clear, actionable recommendations Outputs – CRM-embedded insights aligned with Salesforce workflows – Decision-support dashboards and targeted alerts – Enriched Salesforce records with market context (opportunities, accounts, leads) Impact – Faster, more informed strategic decisions – Improved opportunity identification and competitive awareness – Reduced signal-to-action latency for sales and leadership teams Positioning Project at the intersection of AI, market intelligence, and CRM strategy, with strong emphasis on execution, adoption, and decision impact. CMDL Enriched Learning Pipeline for Salesforce Designed and implemented a CMDL (Cognitive Multidimensional Learning) pipeline to accelerate Salesforce enablement, certification, and project readiness. Integrated process mapping, ambiguity resolution, and scenario-based reinforcement to enable rapid upskilling. Delivered: https://www.cmdl-salesforce.com – Smart Definition Book: actionable Salesforce knowledge base – Dynamic Process Diagrams: interactive, zoomable CRM workflow and automation maps Impact – Reduced onboarding and certification time from 2–6 months to under 4 weeks (e.g. CPQ in 15 days) – Enabled team members to reach project-ready expertise in 1–2 months instead of 6–12 – Improved delivery quality and reliability of Salesforce solutions

Implementation of a digital marketing platform for a brand specializing in sports products. - Prototyped and realized a better user experience by understanding end-client pain points, following UI/UX and email best practices. -Designed and developed the e-commerce website. -Reduce API calls to the sales force by sending many data in one post request. -Minimized data storage cost on Salesforce by centering data on a cloud server. -Synchronized data between sales cloud, marketing cloud, and external website.

- Developed cross-platform mobile app using Flutter for both Android and iOS.. - Integrated external APIs for dynamic data handling (RESTful services). - Collaborated on UI/UX for a user-friendly interface and smooth navigation. - Coached the team and instilled scrum values in retrospective meeting every 2 weeks. - Conducted testing and debugging for stability and performance.

-Released an e-learning website to facilitate learning and contribute to accessibility for million of learners . -Perceived stakeholder requests every 2 weeks. -Prepared 6 epics and 180 user stories. -Conceptualized and Architected software in the first stage of development for maintainability and scalability for million of users.

- Realizing a fixator to advance the way of adjusting bones in the medical field.

- Realized a desktop application to automate repetitive tasks of debugging. -Translated about 2000 lines of C++ code that existed in one file of an intern to Python code. -Automated data cleaning in the Linux server and return 10 mega data rather than 5 giga data.