2021 — 2022
Multimodal Deep Learning for Mental Health Analysis
Master's Thesis · Mohammed V University
Research-led thesis combining text and signal modalities to detect mental health indicators using deep learning architectures.
Portfolio · 2026
Building AI systems and Reporting That Drive Better Decisions
I build AI-powered applications, analytics, and reporting systems that turn fragmented data into solutions people can actually use
Skills & tools
The Stack I Work With Day To Day
Grouped for clarity. Each item reflects real production use, not a passing tutorial.
Cloud & Platforms
01 / 05Microsoft AzureAzure OpenAICognitive Search
AI & Machine Learning
02 / 05OpenAI APIsDeep LearningMachine LearningNLP
Analytics & BI
03 / 05Power BIDAXM LanguageData Modeling
Programming & Data
04 / 05PythonPandasNumPySQL
Data Systems & Enterprise Tools
05 / 05DataverseSalesforceSharePointHR Systems
How it fits together
Sources flow into Azure-based pipelines, Python handles validation and transformation, and Power BI surfaces the result to stakeholders. AI components sit alongside the reporting layer, classifying and searching unstructured data where it adds clarity.
Sources→Python · Azure→Power BI · AI
Experience
Experience Across Analytics, BI, and Applied AI
A reverse chronological view of roles, with a focus on the work that produced lasting business impact.
- 2026 — PresentMorocco, RemoteData Scientist (Product R&D)Foundever
- Built Python and Azure pipelines to process raw customer feedback data.
- Used Azure OpenAI and Azure AI Search to classify feedback and enable semantic search.
- Connected AI outputs with Power BI reporting and Azure Web Apps.
- Reduced the time needed to review and organize customer feedback.
- Helped identify recurring customer issues and negative experience themes.
- Created a reusable automated Azure workflow for feedback analysis, search, and reporting.
- 2024 — 2026Morocco, RemoteGlobal Sr Data AnalystFoundever
- Designed and deployed advanced Power BI reporting solutions across pricing, CRM, HR, infrastructure, and client management.
- Built centralized dashboards integrating Salesforce, Dataverse, SharePoint, HR systems, and internal data sources.
- Developed scalable reporting workflows using advanced DAX, Python-based data validation, automation processes, and complex data modeling.
- Delivered and maintained 15+ high-impact dashboards used by executives, sales teams, and operational stakeholders.
- Built a global reporting hub connecting multiple enterprise data sources for centralized access to business and operational performance data.
- Improved reporting efficiency and reduced manual effort through advanced automation and custom analytics solutions.
- Became a key internal reference point for Power BI, reporting architecture, and enterprise data connectivity.
- 2023 — 2024Morocco, RemoteGlobal Data AnalystFoundever
- Designed and maintained Power BI dashboards focused on Salesforce and CRM data.
- Built reporting solutions using Power BI and Google Looker Studio by integrating Salesforce, SharePoint, and internal business systems.
- Developed analytical and automated reporting workflows using Power Automate, dashboard alerts, and recurring reporting processes.
- Helped establish some of the first centralized reporting solutions for Salesforce data within the organization.
- Improved reporting speed and decision-making by reducing manual data gathering and shortening turnaround times.
- Led high-visibility reporting initiatives, including a global NPS dashboard used to track client feedback and performance analysis.
- 2023Morocco, RabatTeam ManagerFoundever
- Led a team of 15 newly onboarded Customer Service Advisors, managing KPIs including AHT, communication quality, and call handling standards.
- Conducted one-on-one coaching sessions and team meetings focused on customer communication, documentation quality, stress management, and use of internal tools.
- Monitored operational and technical issues across the team, resolving workflow challenges and escalating issues when required.
- Improved team autonomy and confidence by coaching newly onboarded advisors and reducing assistance dependency over time.
- Built a supportive management approach that helped associates handle high-pressure customer interactions more effectively.
- Maintained team stability through onboarding support, performance development, and conflict management.
- 2022 — 2022Morocco, RabatCustomer Service RepresentativeFoundever
- Supported customers for the UK retail brand John Lewis, handling product issues, delivery delays, and order-related inquiries through inbound calls.
- Resolved customer concerns using internal order tracking, delivery management, and product knowledge systems while maintaining KPI targets.
- Assisted customers in a fast-paced environment by balancing efficient resolution times with accurate issue handling and documentation.
- Consistently maintained KPI performance targets and demonstrated strong communication and problem-solving skills, leading to promotion to Team Manager within 4 months.
- Mentored and coached newly hired associates through live call support.
- Supported teammates with complex customer cases and contributed to faster, more confident issue resolution across the team.
- 2021 — 2022Morocco, RabatIT ConsultantGEOSPHERE COMPANY
- Advised clients on IT infrastructure choices, reporting tools, and data workflows.
- Delivered tailored configurations and documentation for small and mid-size teams.
- 2020 — 2021Morocco, RabatGraduate TutorUniversity
- Tutored undergraduate students in mathematics, algorithms, and programming foundations.
- Taught computer science subjects including Algorithms, Python, Java, Web Technology, and Beginner Android App Development.
- Designed practice material that mirrored real engineering problem-solving patterns.
University projects
Where The Technical Foundation Was Built
A selection of academic work spanning deep learning research, computer vision, and signal processing.
2021
Sports Video Classification (CNN / ResNet)
Academic project · Computer Vision
Built a ResNet-based convolutional network with TensorFlow and Keras for multi-class sports video classification, trained with SGD on a 75/25 split.
2020
Digital Transmission Chain Simulation
Academic project · Telecommunications
Developed a Matlab application simulating an end-to-end digital transmission chain, covering encoding, modulation, and signal reconstruction.
Selected impact
Selected Outcomes and Delivery Highlights
0
Tailored Power BI dashboards deployed
0
Business domains covered in reporting
0
Enterprise data systems integrated
0
Azure Web App with AI Search and Azure OpenAI Foundry in production
AI
Classification and semantic search in production tools
End to end
From source ingestion to executive reporting
Global
Reporting consumed by international stakeholders
Core strengths
The Capabilities I Bring To A Data Team
A concise view of the work I do well, framed for recruiters and hiring managers.
01
AI Solutions on Azure & OpenAI
Building Python pipelines on Azure that power OpenAI-driven features, from text classification to semantic search inside operational tools.
02
Business Intelligence & Reporting
Designing reporting layers that surface the metrics business teams actually use to decide.
03
Applied Data Science
Turning unstructured business data into models and workflows that improve how teams decide and operate.
04
Data Quality & Validation
Embedding checks and monitoring so reports stay accurate as upstream systems change.
05
Data Quality & Validation
Embedding checks and monitoring so reports stay accurate as upstream systems change.
06
Cross-System Data Integration
Unifying signals from Dataverse, Salesforce, SharePoint, and HR platforms into a coherent view.
07
Azure & Cloud Data workflows
Operating modern data pipelines on Microsoft Azure with attention to cost and maintainability.
08
AI-Powered Solutions
Applying OpenAI APIs and Azure Cognitive Search to classification and conversational use cases.
09
Decision Support & Stakeholder Analytics
Partnering with leaders to turn data products into instruments they actually rely on.
Selected work
Representative Project Categories
A view of the kinds of data products I have built and supported in corporate environments. Specific implementations are confidential, but the patterns are consistent.
01
Corporate Dashboard Ecosystems
End-to-end Power BI environments unifying CRM, HR, pricing, and infrastructure data into a single decision surface.
Pattern
02
AI-Powered Text Classification
OpenAI-driven pipelines that classify high volumes of customer interactions for product and operations teams.
Pattern
03
Semantic Search Applications
Azure OpenAI and Cognitive Search experiences that let internal users explore knowledge in natural language.
Pattern
04
Cross-Functional Reporting Systems
Reporting layers that align operations, finance, and client management around a shared set of metrics.
Pattern
05
Data Quality & Validation Pipelines
Python validation routines that monitor reporting integrity and surface upstream data issues early.
Pattern
About
A Data Professional Focused On Clarity, Structure, and Business Usefulness.
I work across analytics, business intelligence, data science, and AI-supported solutions. The goal is always the same: turn fragmented data into something a stakeholder can act on with confidence.
Salim Taous
Data Scientist · Analytics & AI
Rabat, Morocco
I am a data professional with corporate experience across analytics, business intelligence, data science, and AI-supported solutions. My work spans the full data workflow, from sourcing and cleaning to modeling, visualization, and stakeholder reporting.
I build interactive Power BI dashboards, write Python for analysis and automation, and design Azure-based data workflows. I also work with deep learning and modern AI tools to deliver text classification and semantic search features inside operational products.
My focus is clarity. I aim for reporting and analytics that decision makers can read at a glance and trust under scrutiny.
Languages
Arabic (Native)French (Fluent)English (Professional)
Education
Academic Foundation
Master of Science in Computer Science and Telecommunications
Software Engineering · Thesis: Multimodal Deep Learning for Mental Health Analysis
Mohammed V University, Rabat, Morocco
2021
Bachelor of Fundamental Studies in Mathematics and Computer Science
Mathematics and Computer Science
Mohammed I University, Oujda, Morocco
2019
Certifications
Continued Technical Credibility
Microsoft Power BI Data Analyst Professional Certificate
Microsoft
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
Neural Networks and Deep Learning
DeepLearning.AI
Convolutional Neural Networks
DeepLearning.AI
Improving Deep Neural Networks
DeepLearning.AI
Microsoft Azure Machine Learning (AI-900)
Microsoft
Artificial Intelligence on Microsoft Azure (AI-900)
Microsoft
Contact
Let's start a conversation.
Whether you're reaching out about an opportunity, a project, a collaboration, or simply want to connect, I'd be glad to hear from you. Use the form below or reach out on LinkedIn.