Upcoming Research Intern at Hybrid

Luqman
Muhammed
Kunju

Kerala, India

Data & Research Analyst.
Computer Science student.

Luqman Muhammed

About Me

Who am I.

I'm Luqman Muhammed Kunju originally from India, currently studying Computer Science at Queen Mary University of London. I find myself drawn to the messier side of data and research work. The cleaning, the questioning, the structured thinking it takes to turn something complicated into something a person can use.

Most of my time outside of lectures goes into building things, analysing datasets, digging into research problems, and figuring out how to communicate what I find clearly. I'm interested in both the technical side of working with data and the research process behind it.

If you want to discuss a project or an opportunity

Experience

Where I have worked.

Queen Mary University of London

London, UK

Student Content Creator

Oct 2025 — June 2026

  • Producing and editing video content across TikTok, Instagram, Facebook, and YouTube Shorts for QMUL's official channels — sharing authentic student life experiences against briefs set by my manager.
  • Collaborated with another student creator on scripted video content — working from pre-written dialogue to a managed production brief
  • Managing end-to-end delivery independently — from scoping to production — against professional briefs set by senior staff.
  • Working across the QMUL marketing team on cross-functional workflows, building communication and coordination skills in a fast-moving environment.

Student Demonstrator

Oct 2025 — May 2026

  • Running lab sessions for 30–40 students across ECS427U (Professional and Research Practice) and ECS419U (Information Systems Analysis) — breaking down problems that look straightforward on a slide but get complicated fast in practice.
  • Marking biweekly lab submissions with feedback that explains the thinking behind a better approach, not just a score.
  • Collaborating with a co-demonstrator to mark major coursework submissions, ensuring consistent and fair feedback across the cohort.
  • Assisted professors in maintaining structured lab sessions — stepping in on student issues as they arose, keeping the class moving without disrupting the flow.

Grain N Grace Private Ltd

Kerala, India

Digital Marketing & Analyst Intern

Jul 2025 — Sept 2025

  • Identified a 20% budget overspend across Meta and Google Ads — diagnosed the inefficiency channel by channel and delivered a reallocation recommendation that directly influenced budget decisions.
  • Monitored daily campaign performance across CTR, CPC, and conversion metrics, applying iterative targeting adjustments throughout the internship.
  • Used Google Analytics 4 to separate high-performing organic content from underperforming pages — findings fed directly into content and promotion strategy.
  • Produced weekly Excel reports translating cross-channel KPIs into clear summaries for non-technical stakeholders.

Education

Academic background.

Queen Mary University of London

London, UK

BSc Computer Science with Industrial Experience

Sept 2024 — June 2028

Year 1 78%
Year 2 70.3%

Relevant modules

  • ECS427U — Professional and Research Practice
  • ECS419U — Information Systems Analysis
  • ECS505U — Software Engineering
  • ECS519U — Database Systems
  • ECS522U — Graphical User Interfaces
  • ECS506U — Software Engineering Project

Projects

What I have built.

1 / 4

Skills

What I work with.

Python Python
PostgreSQL PostgreSQL
pandas pandas
NumPy NumPy
Matplotlib Matplotlib
Git Git
GitHub GitHub
Power BI Power BI
Tableau Tableau
Google Analytics Google Analytics
Google Ads Google Ads
Meta Ads Meta Ads
DBeaver DBeaver
React React
Astro Astro
Next.js Next.js