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

Salim Taous
Built Products

Projects

A selected collection of projects shaped by personal need, curiosity, and the motivation to build practical tools that solve real problems.

Custom Build

Need something built for your own problem?

Beyond the projects listed below, I take on tailored builds shaped around your business, idea, or workflow. Tell me what you're trying to solve and I'll come back with a clear plan.

Request a custom project
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 / 05
Microsoft AzureAzure OpenAICognitive SearchAzure Web Apps

AI & Machine Learning

02 / 05
OpenAI APIsDeep LearningMachine LearningNLP

Analytics & BI

03 / 05
Power BIDAXM LanguageData Modeling

Programming & Data

04 / 05
PythonPandasNumPySQLJavaScriptJavaAPIs

Data Systems & Enterprise Tools

05 / 05
DataverseSalesforceSharePointHR 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.

SourcesPython · AzurePower 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.

  1. Mar 2026 - Present
    Morocco, Remote
    Data Scientist
    Foundever
    • Built an AI-powered web app (Python, Azure OpenAI) giving operations teams on major financial-services client accounts automated visibility into customer survey feedback.
    • Used OpenAI APIs to classify survey responses at scale, helping supervisors pinpoint agents' weak points and target coaching and training more effectively.
    • Added AI-powered semantic search via Azure AI Search and Web Apps, so teams can surface relevant feedback instantly instead of reviewing raw survey data by hand.
    • Unified data ingestion, LLM processing and search into one scalable pipeline, replacing manual per-account feedback review with a single reusable workflow.
  2. Jul 2024 - Mar 2026
    Morocco, Remote
    Global Senior Data Analyst
    Foundever
    • Owned end-to-end delivery of the Global Information Dashboard, unifying 6+ enterprise data sources into a single hub used daily by sales, pricing and executives worldwide.
    • Delivered the Pricing Solutions and Client 360 Legal dashboards, giving leadership real-time visibility into deal status, SLA governance and contract lifecycle across all markets.
    • Built a Teams-to-Power BI approvals tracking system that cut review time from hours to under 30 minutes.
    • Led the 2025 Global Voice of Client Survey dashboard to 850+ views and 215+ users.
  3. Apr 2023 - Jul 2024
    Morocco, Remote
    Global Data Analyst
    Foundever
    • Built the organization's first centralized Salesforce reporting, used by sales, HR, IT, finance and marketing.
    • Delivered the Global NPS Dashboard, a high-visibility client feedback tool used company-wide that contributed directly to the promotion into the Senior role.
    • Reduced manual data gathering from days to hours with Power Automate-driven dashboards integrating Salesforce and SharePoint.
  4. Jan 2023 - Apr 2023
    Morocco, Rabat
    Team Manager
    Foundever
    • 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.
  5. Sep 2022 - Dec 2022
    Morocco, Rabat
    Customer Service Advisor
    Foundever
    • 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.
  6. Nov 2021 - Feb 2022
    Morocco, Rabat
    IT Consultant
    Geosphere Company
    • Provided IT support, database management and system setup assistance.
  7. 2020 - 2021
    Morocco, Rabat
    Graduate Tutor
    University
    • 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 - 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.

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
Cross-System Data Integration

Unifying signals from Dataverse, Salesforce, SharePoint, and HR platforms into a coherent view.

06
Azure & Cloud Data workflows

Operating modern data pipelines on Microsoft Azure with attention to cost and maintainability.

07
AI-Powered Solutions

Applying OpenAI APIs and Azure Cognitive Search to classification and conversational use cases.

08
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
AI-Powered Customer Feedback Analysis System (2026)

A Python and Azure pipeline using OpenAI APIs for feedback classification, with semantic search powered by Azure OpenAI and Cognitive Search.

Pattern
02
Corporate Dashboard Ecosystems

End-to-end Power BI environments unifying CRM, HR, pricing, and infrastructure data into a single decision surface.

Pattern
03
AI-Powered Text Classification

OpenAI-driven pipelines that classify high volumes of customer interactions for product and operations teams.

Pattern
04
Semantic Search Applications

Azure OpenAI and Cognitive Search experiences that let internal users explore knowledge in natural language.

Pattern
05
Cross-Functional Reporting Systems

Reporting layers that align operations, finance, and client management around a shared set of metrics.

Pattern
06
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
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 · 2025
Microsoft Azure Data Fundamentals (DP-900)
Microsoft · 2026
Microsoft Azure Machine Learning (AI-900)
Microsoft · 2026
Artificial Intelligence on Microsoft Azure (AI-900)
Microsoft · 2026
Neural Networks and Deep Learning
DeepLearning.AI · 2021
Convolutional Neural Networks
DeepLearning.AI · 2021
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization & Optimization
DeepLearning.AI · 2021
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.

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