Khalil Alakbarzade

Data Science MSc · Industrial Engineering background · Analytics & ML

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.

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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 – R Analysis

End-to-end analysis of the British Social Attitudes Survey 2019 in R: data cleaning, transformation, exploratory visualisation, and modelling around attitudes to poverty, welfare, and politics.

R · tidyverse · Survey data

View on GitHub →

University R Portfolio (TUoS_R)

Collection of university R work, including data wrangling, exploratory analysis, modelling exercises, and visualisation tasks completed as part of MSc Data Science modules.

R · tidyverse · Coursework

View on GitHub →

Business Dashboards in Excel & Power BI

Interactive dashboards built in Excel and Power BI to track KPIs, trends, and performance metrics. Focused on clear layout, drill-down views, and stakeholder-friendly visual design.

Excel · Power BI · Dashboards

View on GitHub →

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.

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