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Materials Engineer & Data Scientist

Engineering sustainable materials, powered by both computational and experimental data.

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About Me

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"🔬 Materials Engineer/Student & Data Explorer: Passionate about unraveling the complex properties, processing, and applications of advanced materials.

I'm integrating hands-on R&D experience with the power of data analytics to uncover trends, optimize processes, and predict material behavior — using Python, machine learning, and scientific computing.

My journey spans lab benches, materials synthesis, characterization, failure analysis, process optimization and teaching.

Interest: Additive manufacturing, Sintering, Nanomaterial synthesis, ML for MSE, Energy storage materials, Semiconductors. Now I’m diving deeper into data analytics and materials informatics, crafting projects that combine engineering intuition with algorithmic precision.

Accra, Ghana & Trento, Italy
2+ Years Experience
  • Materials Engineering Graduate student(2022 - to date)
  • BSc. in Materials Science and Engineering (2016 - 2020)

Technical Skills

Materials Science

  • Microstructural Characterisation (SEM, EDX, TGA, DSC, XRD, FTIR, BET/BJH, mercury intrusion)
  • Mechanical Testing & Analysis (Hardness/Nano-indentation, Tensile/Compression testing)
  • Laboratory & Experimental Skills (Sample preparation, Nanomaterial synthesis, Pyrolysis, Sintering, Additive manufacturing)

Data Science

  • Python (Pandas, NumPy, Scikit-learn)
  • Machine Learning (Supervised & Unsupervised)
  • Data Visualization (Matplotlib, Seaborn, Plotly, Tableau)
  • Statistical Analysis
  • SQL

Engineering Tools

  • Computational Materials Science (Materials Studio*)
  • Process Simulation (*)
  • CAD (SolidWorks)
  • Data Visualization (Origin)

Featured Projects

Superstore Dashboard

Turning Superstore data into clear business insights through interactive dashboards

Built a dashboard highlighting key insights and visual trends to track performance across categories and segments.

Excel Tableau SQL
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House Price Prediction

House Price Prediction Using Machine Learning.

In this project, I created and submitted predictions for a Kaggle competition. Then, improved the model by adding features to apply what I've learned to move up the leaderboard.

Python Matplotlib Pandas Kaggle notebook scikit-learn
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Manufacturing Process

Data-driven solutions for Manufacturing Process challenges

In this project, I explore Statistical Process Control (SPC), a method that uses data to keep production within limits [The Upper Control Limit (UCL) and Lower Control Limit (LCL)].

Python Matplotlib SQL Google Colab notebook
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Google PlayStore

What Drives Google PlayStore Apps Ratings? A Data-Driven Analysis.

I wrangled, analyzed and visualized review data obtained from screening Google App store for user reviews.

Python Tableau Pandas
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Medical Data Analysis

Medical Data Visualizer & Analysis

This dataset contains medical examination data from patients. I explored the relationships between cardiac disease, body measurements, blood markers, and lifestyle choices to uncover key health insights and risk factors.

Python Pandas Matplotlib Seaborn
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BigQuery Analysis

BigQuery Public Data Analysis with SQL

This project utilizes advanced SQL techniques for analyzing data using the GitHub Repos dataset hosted in Google Cloud via BigQuery, SQL and from Python. The analysis focuses on understanding commit patterns and programming language usage across GitHub repositories.

Python Google Cloud SQL Kaggle Notebook
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Work/Research Experience

Research Intern

Oct. 2024 - May, 2025

Glass-Ceramics Lab | Industrial Engineering Department, University of Trento, Italy.

Conduct research on Cold sintering (CS) vs conventional sintering of carbonate rock powders.

  • Collaborate with research team to characterise the ceramics using SEM, FTIR, EDX, pycnometer and Archimedes' method, enhancing the understanding of ceramic materials' properties and behaviour for energy storage.
  • Engage in collaborative research efforts, participating in discussions and brainstorming sessions to develop innovative solutions to material challenges.
  • Manuscript under review at a reputable Q1 peer-reviewed journal for publication.

Graduate Student

Nov. 2024 - Present

Msc. Materials Engineering | University of Trento

Thesis Topic: Additive Manufacturing of Dense Polymer-Derived SiOC Ceramics.

  • Developed 3D-printed scaffolds from polymer precursors and conducted pyrolysis in a controlled atmosphere.
  • Conducted comprehensive characterisation using TGA, XRD, SEM, EDX, FTIR, BET/BJH, mechanical testing, and nanoindentation to understand microstructure-property relationships.
  • Peer-reviewed publication in Open Ceramics.(https://doi.org/10.1016/j.oceram.2025.100839).

Teaching and Research Assistant

Sept. 2020 - Aug. 2022

Materials Science and Engineering | University of Ghana.

Helped with the implementation and assessment of assigned projects and programs.

  • Conducted research under faculty supervision, analysing the physical and chemical properties of locally manufactured steel rebars to assess quality, performance, and industry compliance.
  • Supervised examinations, laboratory sessions, grade reports and assignments.

Research Intern

Jun. 2019 - Jul. 2019

Materials Science and Engineering Lab | University of Ghana

Maintained lab operations and supported a crystallization experiment on waste polymers, performing material characterizations including compressive, tensile, and hardness tests.

  • Supported daily laboratory operations by maintaining equipment and ensuring accurate sample processing.
  • Engaged in a collaborative experiment on crystallization of waste-polymers (polyethylene) into boards for pavement construction.
  • Performed characterizations such as compressive test, tensile test and hardness test on material samples.
  • Participated in research meetings and presented findings on material properties analysis.

Engineering Intern

Jul. 2018 - Aug. 2018

Ghana Civil Aviation Authority | Airport

Conducted communication line checks, assisted in satellite installation and equipment maintenance, and recorded machine data to ensure reliable operations and accurate documentation.

  • Performed daily checks on communication lines, ensuring smooth and reliable connectivity.
  • Contributed to satellite installation and assisted in the maintenance of equipment, ensuring optimal functionality.
  • Engaged in daily reading and recording of machine data, ensuring accurate documentation and contributing to smooth operations.

Certifications

Data Analytics

Freecodecamp's Data Analysis with Python Certification

Issued: Nov. 2025
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Scientific Computing with Python

Freecodecamp's Scientific Computing with Python Certification

Issued: May 2025
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Advanced SQL

Kaggle's Advanced SQL Certification

Issued: Aug 2025
View Certificate

Data Visualization

Kaggle's Data Visualization Certification

Issued: Jun 2025
View Certificate

Intro. to Machine Learning

Kaggle's Introduction to ML with Python Certification

Issued: Jan 2025
View Certificate

Data Cleaning

Kaggle's Data Cleaning Certification

Issued: Feb 2025
View Certificate

Get In Touch

Contact Information

Email

djonathanselorm@proton.me

Phone

(233) 5459-40851

Location

Trento, Italy

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