OUZERI Leila

Operations Research Analyst
+213 662 89 48 96
oresearch.ouzeri@gmail.com ouzleila@gmail.com ouzerileila@univ-blida.dz

Biography

Applied mathematician, operations research specialist and data analyst with extensive experience in statistical modeling, experimental design, and optimization techniques. I worked on academic researches and practical applications of data science. With a strong background in mathematical modeling, data-driven, decision-making, and computational analysis, I use Design of Experiments (DOE), Linear Programming, and Operations Research techniques to solve complex problems in science, engineering, and business.

Research and professional interests

  • Data Analysis & Statistical Modeling.
  • Extracting insights from large datasets using advanced statistical techniques.
  • Applying predictive modeling and machine learning methods.
  • Implementing data visualization tools to communicate results effectively.
  • Design of Experiments (DOE).
  • Developing optimized experimental designs to improve research efficiency.
  • Applying factorial, fractional factorial, and response surface methodologies.
  • Using statistical techniques to minimize variability and maximize results in experimental setups.
  • Linear Programming & Optimization.
  • Formulating and solving optimization problems for resource allocation and efficiency improvement.
  • Working with Simplex method, duality theory, and integer programming.
  • Using optimization techniques to minimize costs and maximize system performance.
  • Operations Research & Decision Science.
  • Applying queueing theory, inventory models, and game theory to real-world scenarios.
  • Developing simulation models to optimize logistics, production, and service operations.
  • Enhancing business and industrial decision-making through data-driven optimization.
Teaching & Training activities

  • Teaching Different fields in MAthematics & Statistics: Algebra, Numerical analysis, Complex analysis, Probability, Reliability, Design of Experiments.
  • Teaching programming languages: Python, C++, Matlab, Scilab, Mathematica.
  • Workshops & Courses on applied operations research and statistical analysis tools.
  • Instructor & Mentor at the Training Institute for Electricity and Gas (IFEG,ETB, SONELGAZ), teaching professionals how to apply data analysis, mathematical modeling, and optimization techniques in decision-making.
  • Trainer in Microsoft Office & Databases, focusing on advanced Excel for statistical analysis, Reporting and optimization modeling.
  • Workshops on simulation software: Origin, JMP, Dx7
  • Workshops on scientific editors: SWP5.5, TexMaker, WinEdit, Mendeley.
Notable Projects & Contributions

  • Optimization of Laboratory Experiments :
      - Designed efficient experimental setups using DOE methodologies.
      - Improved data accuracy while reducing the number of required experiments.
  • Operations Research in IT & Business Applications :
      - Developed optimization models for scheduling and resource allocation.
      - Applied linear programming methods to enhance production efficiency.
  • Automation of Data Analysis Processes :
      - Implemented Python-based automation scripts to streamline data analysis workflows.
      - Developed decision-support tools using Scilab and MATLAB.

    • Publications

    • Ouzeri L, Hannane F, Adli F. New quality factor to study the behavior of a solar panel. June 2023. DOI:10.22541/au.168753314.44081617/v1
    • Ouzeri L, Hannane F. Adli F. Physicsmetrics, another approach to model physics systems. Application on solar panel behaviour. Advantages and complementarities with the physic’s approach. 2021, June 18. https://doi.org/10.31730/osf.io/hmxqk
    • Ouzeri L, Aillerie M, Charles J.-P, Petit P, Hannane F. Study of the behavior of the photovoltaic panel under partial shading. Influence on the maximum power delivered. Concern the surface area under the characteristic curve and global efficiency. 2018
    • Adli F, Cheggaga N, Hannane F, Ouzeri L. Vertical wind speed extrapolation: Modelling using a response surface methodology (RSM) based on unconventional designs. Wind Engineering. 2022;46(2):661-669. doi:10.1177/0309524X211046380
    Other projects

    As a "Operations Research Analyst" and "Data Scientist" working on energy projects, especially in Renewable energy, I can contribute in several ways. Here's a list of potential services and research directions that I can do:

      1. Data Science Applications in Energy (Radioactivity & Solar Energy):
    1. A. Data Collection & Processing
      - Gathering real-time and historical solar radiation data.
      - Analyzing radioactive decay data.
      - Developing predictive models for radiation exposure in different environments.
      - Cleaning and preprocessing large energy datasets (solar panels, nuclear facilities, etc.).
    2. B. Predictive Modeling & Machine Learning
      - Solar Energy Forecasting: Predicting solar panel efficiency based on weather conditions.
      - Radiation Risk Prediction: to assess health risks from radioactive exposure.
      - Anomaly Detection: Identifying failures in solar panels or radioactive leaks.
      - Developing Energy Optimization Models for smart grids.
    3. C. Energy Efficiency & Optimization
      - Designing solar tracking systems to maximize energy production.
      - Developing data-driven cooling strategies for solar panels to improve efficiency.
      - Modeling battery storage optimization for off-grid solar energy systems.
      2. Operations Research Applications in Energy
    1. A. Optimization of Solar Energy Systems
      - Optimal placement of solar panels to maximize energy yield.
      - Cost minimization models for solar energy installation and maintenance.
      - Designing energy storage systems using mathematical optimization.
      - Modeling grid integration strategies for solar power.
    2. B. Nuclear Energy & Radioactive Waste Management
      - Supply chain optimization for nuclear fuel transportation.
      - Risk analysis models for nuclear reactor failures.
      - Radiation shielding optimization for nuclear plants.
      - Designing logistical models for safe disposal of radioactive waste.
    3. C. Decision Support Systems - Developing multi-objective optimization models for energy policies.
      - Creating risk assessment models for radiation exposure and safety planning.
      - Designing simulation models for nuclear power plant operations.
    4. D. Policy & Economic Analysis
      - Analyzing cost-benefit trade-offs for solar vs. nuclear investments.
      - Evaluating government incentives & subsidies for renewable energy.
      - Carbon footprint analysis for different energy sources.
          5. 3. Advanced Research & Emerging Technologies
          - AI-powered radiation monitoring systems.
          - Blockchain for solar energy trading in decentralized grids.
          - Quantum computing applications in energy optimization.
          - Fusion energy modeling and its potential integration with solar power.

        Software & Technical Skills

          1. Data Analysis & Modeling :
        • Python and R (Data manipulation, statistical analysis, machine learning)
        • JMP an Dx7 (Design of Experiments, statistical modeling)
        • MATLAB & Scilab (Optimization, simulations, numerical analysis)
          2. Optimization & Operations Research :
        • C++ (Algorithm development for optimization problems)
        • MS Project & Excel (Solver & VBA) & Tableur (Linear programming, decision analysis)
        • Databases & SQL (Data management for analytics)
To contact us