Edit

Riaz Islam

Riaz Islam

Student Course Representative Feedback Analyst — London, UK

About

From file: Download

To file: Download HTML

Work experience
  • Student Course Representative Feedback Data analyst, Queen Mary University of London, 10/2022 – 06/2023
    • Collected feedback from the course using sampling software
    • Attended to student queries and negotiated with the board of education
    • Voiced peer concerns to the board of education
  • Intern – Project Operations, Arup Engineering and Architectural office, 08/2019 – 09/2019
    • Designated project resources, prepared budgets, and monitored progress
    • Created presentations and gave end of programme speech
    • Visualized data via Gantt charts in Microsoft project
Education
  • BSc (Hons) Physics, Queen Mary University of London, 06/2024 (predicted)
    • Third Year, predicted 1:1
    • Relevant modules: AI and Machine Learning, Statistical Data Analysis, Practical Techniques in Machine Learning
    • Programming Languages: Python, R, CSS, HTML, Matplotlib, NumPy, Tensorflow, SciKit-Learn
    • IT proficiencies: Microsoft Office, Origin Pro, Jupyter Notebooks
Projects
  • Beyond the Standard Model: Machine Learning Insights into ttZ Collisions
    • Applied supervised machine learning techniques to analyze CERN particle collision data
    • Achieved 97.54% testing accuracy with Decision Tree classifier
  • Exploration and Modelling of pollution and traffic data in Mexico City
    • Used statistical machine learning to correlate traffic and pollution within boroughs
    • Modelled data using train/test splits and Principal Component Analysis
  • Determining the accuracy of models to classify Neutron Stars
    • Plotted ROC curves in Python and R using various machine learning models
    • Analyzed model precision using AUC values and confusion matrices
  • Radial velocity detection and characterisation of Extrasolar Planets
    • Analyzed large datasets containing information about Extrasolar Planets using Python
    • Programmed functions related to Kepler’s laws and plotted radial velocities
  • Oxford Generative AI Hackathon Innovator, University of Oxford, 10/2023
    • Contributed creative solutions as an Ideation Expert
    • Implemented API key integration for front-end and back-end programming
    • Developed innovative mapping software using Generative AI
Additional information
  • Spoken Languages: English (Native), Bangla (Native), Arabic (Intermediate), Urdu (Beginner)
  • Competitive Brazilian Jiu Jitsu athlete
  • Hobbyist rock climber, cyclist, boxer/wrestler
  • Learning to read, write and speak Arabic and Urdu
  • Volunteer at various charities and charitable organizations