Project Type: Final-Year Thesis / Research Project

Description:
- Built a full simulation and decision-support pipeline to study how disruptions propagate through GE HealthCare's Algerian supply chain and degrade delivery performance.

Supply Chain Modeling
- Designed an order-centric stochastic representation of disruption propagation, paired with a Fuzzy ANP–Fuzzy TOPSIS framework ranking 13 disruption types by criticality.

Ripple Effect Simulation
- Built a discrete-event simulation model in AnyLogic, calibrated on real operational data, modeling order flow across a four-stage supply pipeline.

Result
- 8 key findings on how demand variability, import lead times, and tender-based purchasing degrade delivery performance. Thesis defended with highest distinction and a recommendation for excellence.

Technologies: AnyLogic, Python, SimPy, Fuzzy AHP-TOPSIS

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Project Type: Professional Project

Description:
•Led a complete rebranding mission for Ecole Nationale Polytechnique, managing the project on behalf of 916 Studio.

Project Scope
• A full institutional rebranding: identity, visuals, communication materials, and positioning.

Key Responsibilities
•Conducted need analysis with ENP and drafted the complete Cahier des Charges (CDC).
•Led negotiations between the two entities, aligned expectations, and secured the final agreement.
•Defined project structure, recruited the team, and assigned responsibilities based on identified needs.
•Built a clear multi-phase project plan with milestones, deliverables, and client requirements.
•Supervised progress across five project cycles, ensuring quality and continuous communication.

Result
•All deliverables were produced on time, validated by the client, and aligned with ENP’s vision for its new identity.

Technologies: Project Management, CDC, Stakeholder Management

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Project Type: Professional Project

Description:
• Designed a complete solar-powered vaccine cold chain solution (SaharaCold) for remote Sahel regions, focusing on reliability, autonomy, and cost-efficiency.

Project Scope
• End-to-end project covering technical concept, value chain, financial modeling, and implementation roadmap for large-scale deployment.

Key Responsibilities
• Led logistical and business design of a solar direct-drive, R600a-based vaccine refrigerator with 7–10 days autonomy for off-grid clinics.
• Built a detailed value chain (primary and support activities) with full BOM, logistics, labor, and overhead cost structure per unit.
• Developed pricing and 10-year financial models, including different price scenarios ($2,500–$5,500), break-even analysis, and service revenue strategy.
• Created a 36‑month implementation plan (pilot, scale-up, and national rollout) with milestones, KPIs, and budget allocation by phase.
• Prepared and delivered a professional presentation of the project to an expert jury at the MEEGET ceremony, defending both technical and business viability.
• Won first place for best project and best presentation at the MEEGET competition.

Result
• Produced a validated, investment-ready concept demonstrating up to 70% cost savings versus typical turnkey cold chain systems, with a clear path to regional scale across the Sahel.

Technologies: Project Management, Value Chain Analysis, Financial Modeling, Solar Energy, IoT Concept Design, Stakeholder Communication

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Project Type: Professional Project

Description:
• Developed a multi-criteria ranking model to help the MAJOR sales team choose priority communes.
• Evaluated 58 communes based on three strategic criteria.
• Used AHP, Méthode de choix social, and Poids pondérés to compare and validate rankings.
• Delivered a clear priority list to guide regional sales expansion.

Technologies: AHP, Decision Modeling

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Project Type: Professional Project

Description:
•Developed a complete analytical tool to support Holcim’s marketing team in understanding and tracking transportation cost variations by city.


Context :
•The marketing department needed a simple, unified visualization of Freight Rate trends (DZD/tonne), which previously existed through scattered reports managed only by logistics.

Objective :
•Create a clear, interactive dashboard that identifies abnormal variations by city and highlights possible causes (e.g., transporters).

Approach :
•Applied an automatic filter to keep only cities with more than 1000 tonnes delivered, ensuring reliable insights.
•Implemented a linear regression analysis to calculate the trend (slope) of Freight Rate over time for every city.
•Created a custom DAX measure (least-squares method) to compute the variation slope.
•Identified significant increases/decreases using statistical thresholds (IQR-based filtering, slope outside [-0.8, +0.8]).

Result :
•Delivered an interactive dashboard adopted directly by marketing.
•Enabled rapid detection of abnormal Freight Rate variations.
•Improved transparency between logistics and marketing.
•Empowered marketing to interpret cost fluctuations independently, with city-by-city diagnostic capability.

Technologies: Power BI, DAX, Analytics

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Project Type: Academic Project — Supply Chain Management

Description:
Strategic Diagnosis & Network Mapping
- Conducted a systemic diagnostic of Hyundai Motor Algérie's transition from importer to local manufacturer, using three complementary mapping methods (Gephi network analysis, Python/Folium GIS mapping, and Lambert-Cooper stakeholder mapping) to expose fragmented flows, geographic misalignments, and a governance asymmetry between HMA and its 37 distribution agents (an implicit "SLA of Docility").

Network Design & Optimization
- Built a P-Median mathematical model to test and validate network decentralization, sweeping p=0 to 7 distribution centers. Identified p=2 (Ghilizane + Mezloug + Larba) as optimal, cutting total costs by 6.5% (-24M DA/year) and reducing average delivery lead time by 56% (3.2 → 1.47 days), while stress-testing robustness against a +30% demand surge scenario.

Supply Chain Planning (S&OP)
- Analyzed HMA's volume-variability configurations (high-volume/high-variability at aggregate level vs. low-volume/high-variability at SKU level) and demonstrated why Demand Planning alone is insufficient in a structurally uncertain, quota-constrained market positioning S&OP as the essential cross-functional governance mechanism aligning commercial, operations, and global sourcing constraints.

Closed-Loop Supply Chain (CLSC) Design
- Designed a circular supply chain strategy integrating after-sales, parts collection, and remanufacturing to counter import restrictions and Algeria's dominant informal repair market. Proposed new KPIs (Fleet Uptime, Collection Rate, Import Independence Rate) and a technology stack (IoT/CAN, RFID, Hyperledger Fabric blockchain, smart contracts) to enable traceability, automated warranty validation, and agent coordination.

Generative AI as Reasoning Tool — Critical Evaluation
- Ran a full 2³ factorial Design of Experiments (8 conditions) testing prompt quality, LLM tier, and data richness on AI-generated CLSC solutions, benchmarked against the hand-engineered solution. Found AI excels at algorithmic execution and synthesis but consistently hallucinates without explicit context (e.g., an unconstrained P-Median model that recommended infinite distribution centers), and lacks the institutional judgment to arbitrate trade-offs concluding AI is a conditional "amplifier of expertise," not a substitute for engineering judgment.

Result
- A five-part, end-to-end strategic and quantitative supply chain redesign combining network optimization, planning governance, circular economy strategy, and a rigorous empirical critique of AI's role in supply chain engineering.

Technologies: P-Median Optimization, GIS Mapping (Python/Folium), Network Analysis (Gephi), AHP, Kraljic Matrix, Blockchain (Hyperledger Fabric), IoT/CAN, Design of Experiments (DOE)

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Project Type: Educational Project

Description:

-Procurement Phase :
• Applied the Kraljic Matrix to classify purchased items.
• Designed a complete supplier-evaluation system by identifying criteria from academic literature.
• Built an AHP-based VBA tool to automatically score and rank suppliers.
• Delivered a full procurement diagnostic with improvement recommendations.

Warehouse Phase
• Analyzed warehouse layout, flows, and storage constraints.
• Identified operational gaps and proposed a new warehouse configuration adapted to activity type.
• Developed an algorithm to optimize picking and delivery tours.

-Transport Phase
• Analyzed the vehicle fleet and daily delivery operations.
• Built VRP (Vehicle Routing Problem) optimization algorithms to reduce distances and improve efficiency.

Result: • Obtained the highest grade in the class.

Technologies: AHP, VBA, VRP, Kraljic Matrix

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Project Type: Academic Project — Big Data Mining & Introduction to Artificial Intelligence

Description:
Data & Simulation
- Generated a synthetic dataset of 118,260 transactions (2 years, 6 vaccine SKUs, 3 factories) using Markov-based phase modeling to realistically simulate Normal, Disruption, and Recovery operational states with distinct demand, lead-time, and delay patterns.

Big Data Processing
- Implemented distributed aggregation pipelines in PySpark (MapReduce paradigm), achieving a 15× speedup over Pandas for daily, SKU-level, and phase-level aggregations on 118K+ rows.

Machine Learning
- Engineered 9 phase-sensitive features and benchmarked five algorithms (Logistic Regression, Random Forest, SVM, Gradient Boosting, ANN) for phase classification. The ANN achieved 96.2% accuracy, outperforming Gradient Boosting (91.3%) and traditional models (88–92%), with SHAP analysis identifying delay rate as the strongest phase predictor.

Intelligent Agent
- Designed a PEAS-based phase-aware agent that dynamically adjusts ordering policies (safety stock, order multipliers) based on predicted phase, doubling order quantities during Disruption to prevent stockouts while minimizing holding costs during Normal operations.

Constraint Satisfaction
- Formulated and validated ordering decisions as a CSP (warehouse capacity, safety stock, demand coverage), achieving 97.8% compliance across 23,652 decisions, with automated remediation resolving all violations at minimal cost (0.15% of budget).

Result
- The integrated phase-aware system reduced total annual costs by 29.8% versus static safety-stock policies (and 12% versus reactive policies) while maintaining 97.4% service levels — including the highest fill rate during disruption phases (96.2%) among all strategies tested.

Technologies: Python, PySpark, TensorFlow/Keras (ANN), Scikit-learn, Constraint Satisfaction Problem (CSP) modeling, Markov Chain Simulation, SHAP

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Project Type: Educational Project (GSI Module)

Description:
Needs Analysis (AS-IS)
- Conducted 25+ stakeholder interviews, field shadowing, and process mapping workshops to diagnose ENP's manual, paper-based processes. Identified major bottlenecks: 10-18 day purchase approval cycles, 15% lost internship files, zero lab equipment traceability, and recurring room double-bookings — totaling over 3,000,000 DZD in annual losses.

ERP Selection
- Built a weighted multi-criteria benchmark (functional coverage, cost, usability, flexibility, local skills, sustainability) comparing SAP Business One, Sage X3, and Odoo. Selected Odoo Community Edition (score 9.35/10) for its 80% cost advantage over SAP.

Process Redesign (TO-BE) & Configuration
- Redesigned the purchase workflow (RFQ → multi-level mobile approval → receipt → payment), cutting cycle time from 10-18 days to 3-5 days. Redesigned the internship workflow with automated tracking, reminders, and digital attestations, cutting approval time from 8-18 days to 2-3 days. Configured core Odoo modules (Purchase, Stock, Project, HR, Portal, Approvals), custom fields, and PDF templates with digital signatures.

Testing, Training & Deployment
- Designed a full V-model test strategy (unit, integration, UAT, performance/load testing up to 100 concurrent users). Built a tailored change-management plan to address ENP's cultural resistance to digitalization. Planned and simulated a complete go-live, including data migration and post-launch stabilization.

Result
- A full end-to-end ERP deployment case study showing 60-85% reduction in processing time and 90%+ reduction in document loss.

Technologies: Odoo ERP, PostgreSQL, BPMN, Multi-Criteria Decision Analysis, Change Management

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Project Type: Educational Project

Description:
•Designed a complete Excel-based stock management solution.
•Built an interface to automatically register every new stock entry into the database.
•Created a dynamic dashboard for real-time monitoring.
•Added automated alerts when products reach the reorder point or fall out of stock.
•Improved visibility and accuracy across the entire stock cycle.

Technologies: Excel, Automation

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Project Type: Educational Project

Description:
•A full BI workflow developed from raw company data. (Team Project)
•Cleaned and structured data in SSMS (SQL Server).
•Built ETL flows in SSIS for automated integration and transformation.
•Generated analytical reports using SSRS.
•Created an interactive Power BI dashboard summarizing key performance metrics.

Technologies: Power BI, ETL, SQL Server

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Project Type: Volunteering Project

Description:
•68 organizers, 700+ attendees, 13 talks, 1 workshop, 12 partners, 4 sponsors.
•Delivered Algeria’s major storytelling & public-speaking event.
•Mission: empower individuals to share impactful personal stories in a 5-minute talk format.

Focus: Self Expressing, Public Speaking

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Project Type: Volunteering Project

Description:
Theme: Prison Break

•95 teams (45 finalists), 201 attendees, 13 partners, 6 sponsors.
•National robotics competition challenging participants to build autonomous maze-solving robots.

Focus: Robotics, Competition Management

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Project Type: Volunteering Project

Description:
•48 organizers, 20 teams (80 participants), 3 trainings, 6 sponsors/partners.
•A national game-development competition inspired by the global Game Jam format.

Focus: Game Development, Hackathon

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Project Type: Volunteering Project

Description:
Theme: English Around the World.
•65 organizers, +250 attendees, 5 exhibition booths, 3 workshops.
•Promoted English learning through activities, games, and cultural exchange.

Focus: Workshops, English

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Project Type: Volunteering Project

Description:
•Hosted at Marriott Resort.
•60 organizers, 176 participants, 37 guests from 13 fields, 12 booths.
•A prestigious networking event connecting engineering leaders, alumni, experts, and graduates.

Focus: Networking, Professional Events

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Project Type: Volunteering Project

Description:
•75 organizers, 13 teams, 6 guests (judges & coaches).
•A design competition for ENP’s centennial, blending tradition and modernity through branding.

Objective : •Create a modern identity reflecting ENP’s scientific & engineering excellence.

Focus: Branding, Design Challenge,Enp Centennial

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Project Type: Volunteering Project

Description:
•56 robotics teams, event hosted at ELsecom.
•Contributed to one of the largest national editions of the robotics competition.

Role: Project Manager

Focus: Branding, Design Challenge,Enp Centennial

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