Muhammad Ali Iqbal

Bis 2024, Research Intern, International Islamic University Islamabad
Bayreuth, Deutschland

Fähigkeiten und Kenntnisse

Engineering
Civil Engineering
MatLab
AutoCAD
Machine Learning
Sustainability
Data Analysis
Microsoft Word
Microsoft Excel
Problem Solving
Time Management
Team work
cooperative
Research
Communication skills
Analytical thinking
Critical thinking
Construction Management
Structural analysis
Construction Engineering
Technical Consulting

Werdegang

Berufserfahrung von Muhammad Ali Iqbal

  • 10 Monate, Aug. 2023 - Mai 2024

    Engineering Intern

    Project of Infrastructure Development Authority Punjab

    Establishment of 200 Beds Accident & Emergency Center PIMS Hospital Complex, Islamabad (Pakistan) Completed an internship with IDAP, under TKM Builders and Suppliers. Contributed to data collection and document preparation for the project. Observed and assisted in construction processes and site visits.

  • 6 Monate, Aug. 2023 - Jan. 2024

    Research Intern

    International Islamic University Islamabad

    Prediction of Long-Term Seasonal Rainfall Using Machine Learning Algorithms Explored potential of algorithms like neural networks and random forests to improve the accuracy and reliability of seasonal rainfall forecasts. Investigated data requirements, including historical weather data and preprocessing techniques, to optimize model performance.

Ausbildung von Muhammad Ali Iqbal

  • Bis heute 1 Jahr, seit Juni 2025

    Digitalization & Sustainability in Materials Science and Engineering

    University of Bayreuth

    Master’s candidate in Digitalization and Sustanability in Materials Science and Engineering at the University Of Bayreuth Germany. Gaining interdisciplinary expertise in materials engineering, digital transformation and sustainable industrial practices with a focus on innovative and eco-efficiency engineering solutions

  • 4 Jahre, Sep. 2020 - Aug. 2024

    Civil Engineering

    International Islamic University, Islamabad

    BS Civil Engineering Technology graduate from the International Islamic University Islamabad, Pakistan (CGPA: 3.28/4.00), with a foundation in structural analysis, construction management and enviromental engineering. Completed a research project on long-term rainfall prediction using machine learning techniques. Actively involved in sustainability related activities and academic projects, developing skills in teamwork, problem solving and technical analysis.

Sprachen

  • Urdu

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    A1-A2 (Grundkenntnisse)

  • Englisch

    B1-B2 (Gute Kenntnisse)

  • Pashto

    C2 (Verhandlungssicher / Muttersprachlich)

XING – Das Jobs-Netzwerk

  • Über eine Million Jobs

    Entdecke mit XING genau den Job, der wirklich zu Dir passt.

  • Persönliche Job-Angebote

    Lass Dich finden von Arbeitgebern und über 20.000 Recruiter·innen.

  • 21 Mio. Mitglieder

    Knüpf neue Kontakte und erhalte Impulse für ein besseres Job-Leben.

  • Kostenlos profitieren

    Schon als Basis-Mitglied kannst Du Deine Job-Suche deutlich optimieren.

21 Mio. XING Mitglieder, von A bis Z