Bremen, Germany

Naim Shareq

Quantitative Analysis • Applied Mathematics • Energy Markets

MSc student in Industrial Mathematics and Data Analysis at the University of Bremen, combining applied mathematics and data analysis with practical experience in quantitative work, scientific computing, and energy markets.

Portrait of Naim Shareq

Experience

Working Student — Quantitative Analysis

EWE Trading

Supporting quantitative analysis and model-based decision support within an energy trading environment.

Student Research Assistant — Data Analytics & Mathematical Modelling

University of Bremen & German Aerospace Center (DLR)

Worked on an applied modelling project combining experimental sensor data, numerical simulation, and quantitative analysis.

  • Analysed experimental sensor data
  • Performed data cleaning, validation, and exploratory analysis using Python
  • Supported numerical simulations with FEniCSx
  • Compared simulation outputs with experimental observations
  • Created visualisations and contributed to technical reporting

Education

MSc Industrial Mathematics and Data Analysis

University of Bremen

Focus on applied mathematics, statistics, optimisation, numerical methods, scientific computing, machine learning, and data analysis.

BSc Applied Mathematics

Noakhali Science and Technology University

Foundation in applied mathematics, numerical methods, mathematical modelling, programming, and scientific computation.

Projects

DLR Numerical Modelling Project

Applied modelling project combining experimental measurements with numerical simulation. The work involved data preparation and validation, finite-element-based simulation with FEniCSx, and comparison of computational results with observed measurements.

  • Python
  • FEniCSx
  • Numerical Modelling
  • Data Analysis

COVID-19 Mathematical Modelling

Mathematical modelling project focused on the Alpha phase of COVID-19 in Bangladesh, using differential-equation-based modelling and quantitative analysis.

  • Mathematical Modelling
  • ODEs
  • Applied Mathematics

Tools and methods

Programming & Data

  • Python
  • SQL
  • R
  • MATLAB
  • C

Data Science

  • Pandas
  • NumPy
  • scikit-learn
  • Time-series analysis
  • Exploratory data analysis
  • Data validation

Mathematics & Scientific Computing

  • Statistics
  • Optimisation
  • Numerical methods
  • Mathematical modelling
  • Finite Element Methods
  • FEniCSx

Tools

  • Git
  • Matplotlib
  • Plotly
  • Power BI
  • Streamlit
  • Docker
  • Linux

Let’s connect.

Have a question or want to discuss an opportunity? Send me a message.

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