Hi, I’m Khalil 👋

I’m a Data Science MSc student with an Industrial Engineering background, focusing on data analysis, machine learning, and data visualisation. I enjoy turning messy real-world data into clear insights and practical decisions.

I’m especially interested in applying data science in manufacturing, supply chains, and telecom.

Khalil Alakbarzade

Quick Info

  • 📍 Based in the UK
  • 🎓 MSc Data Science
  • 🎓 BSc Industrial Engineering
  • 💻 Python · R · SQL · SPSS

Skills

Data & Analytics

  • Data cleaning & wrangling
  • Exploratory data analysis (EDA)
  • Statistical modelling

Tools & Languages

  • Python (pandas, NumPy, scikit-learn)
  • R (tidyverse)
  • SQL · SPSS · Git/GitHub

Domains & Interests

  • Industrial & manufacturing analytics
  • Supply chain optimisation
  • Social survey data & public attitudes

Featured Projects

British Social Attitudes 2019 – End-to-End Analysis

Analysed the 2019 British Social Attitudes Survey to explore attitudes to poverty, welfare, and politics. Cleaned and transformed raw survey data, handled missing values, built exploratory visualisations, and produced a short report.

R · tidyverse · Survey data

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Social Engagement & Health in Older Adults

Regression-based analysis in SPSS exploring how age, physical health, mental health, and life satisfaction relate to social engagement scores in older adults.

SPSS · Regression · Data cleaning

See more details →

About Me

I have a strong quantitative background from Industrial Engineering and I’m currently strengthening my skills in machine learning, programming, and data visualisation through a Data Science MSc.

I enjoy working with real datasets, especially where there are missing values, messy structures, and complex questions. My goal is to build reliable, ethical, and explainable data solutions that connect technical modelling with real business or policy problems.

Contact

If you’d like to talk about data science roles, research opportunities, or collaborations, feel free to reach out.