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mol-sarg/README.md

Hey, I'm Molly!

I’m an Urban Data Scientist with an MSc in Urban Data Science & Analytics and a strong interest in using data to understand and address the social and spatial inequalities that shape everyday life in cities. I’m currently working as a Data Scientist at the Leeds Institute for Data Analytics (LIDA), where I focus on translating complex data into accessible insights to support evidence‑informed decision‑making. I have been developing an interactive tool comparing the Index of Multiple Deprivation (IMD) and the Priority Places for Food Index (PPFI) to highlight hidden food access vulnerabilities across England.

My background is in Sociology with Quantitative Research Methods (BSc), which grounds my technical work in social theory and equity‑focused thinking, particularly around how social issues are framed and responded to through policy. I enjoy working with large, messy datasets and I’m particularly drawn to geospatial analysis and interactive data visualisation as tools for supporting fairer urban and food policy, as well as improving how research insights are communicated to non‑technical and policy audiences.

  • 💼 Current work: Evaluating the UK 2022 High in Fat, Sugar and Salt (HFSS) legislation using Interrupted Time Series models with major UK retailer sales data, examining differential impacts across area-level deprivation.
  • 💻 Tools I use: Python, R, QGIS, Tableau
  • 📬 Reach me: sarg.mol2@gmail.com

🔗 Check out my mini data science project here


⚒️ Skills

Python R QGIS


🌐 Socials

LinkedIn

Popular repositories Loading

  1. imd_ppfi_dash_app imd_ppfi_dash_app Public

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  2. GEOG5302M-mini-data-science-project GEOG5302M-mini-data-science-project Public

    'Understanding Greenhouse Gas Trends: A Temporal Analysis of UK Emissions (2005-2022)'

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  3. GEOG5303M-creative-coding-hackathons GEOG5303M-creative-coding-hackathons Public

    Five data science hackathons completed during my Masters studies, developed collaboratively in teams and with an industry partner. Focused on real-world urban and environmental challenges.

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  4. COMP5712M-group-project COMP5712M-group-project Public

    A group project created for Programming for Data Science module assignment.

    Jupyter Notebook

  5. mol-sarg mol-sarg Public

  6. GEOG5404M-urban-policy-project GEOG5404M-urban-policy-project Public

    'Don't Silence the Data: Forecasting Leeds’ Noise Complaints to Evaluate Service Discontinuation'

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