Alex Anstruther

[email protected] | +44 7752 586724 | LinkedIn | GitHub

First class graduate seeking challenging, high impact work.

 

 

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Experience

Jan ‘25

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Present

Joe Powell for Kensington & Bayswater, Local Campaign Coordinator

·     Led voter engagement, building local support through targeted outreach and effective volunteer coordination.

·     Used data to guide campaign decisions and built strong community relationships to enhance messaging impact

 

Sep ’23 -

Mar ‘24

Winning Scotland, Data and Insight Officer

·     Led impact assessment of government funded £1.5m public health initiative, reporting directly to the CEO.

·     Produced analysis, supporting CEO in funding discussions with the Minister for Drugs and Alcohol Policy.

 

Summer ‘23

Winning Scotland, Intern

·     Increased data accessibility across the organisation, in compliance with GDPR, by developing a user-friendly, web-based (Streamlit) data analysis platform with a production-level Python backend.

·     Translated analysis (including multiple linear regression) relating to the health and wellbeing of young Scots into actionable insights for stakeholders with varying data literacy levels, including NHS Scotland.

 

Summer ‘22

Compass Group, Intern

·     Accelerated data cleaning by 10x, significantly reducing costs and improving efficiency, by automating the detection of falsely labelled items with no loss to accuracy, using natural language processing (NLP).

 

Summer ‘21

Stanhope Capital, Intern

·     At partner’s request, presented my review of the group’s macro-economic strategy on company-wide call.

·     Assisted analysts with due diligence of funds from firms such as Bridgewater Associates and Polar Capital.

 

 

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Education

Sep ‘21

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Jun ‘24

London Interdisciplinary School, Interdisciplinary Problems and Methods (BASc)

·     Graduated with first class honours, having excelled in data science modules following and extending upon UC Berkeley’s Data 8: Foundations of Data Science curriculum, led by an ex-Berkeley professor.

·     Founded & ran annual Staff Awards in recognition of university staff who go above and beyond.

 

Sep ‘18

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Jun ‘20

UWC Atlantic, International Baccalaureate

·     Secured highly competitive United World College Great Britain Scholarship from GB National Committee.

·     Advocated for students in disciplinary meetings with management, having been selected as a member of the Student Disciplinary Board, ultimately reducing unnecessary expulsions and repeated misconduct.

 

 

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Leadership

Nov ‘23

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Present

Young Scot, Data Advisory Group Member   

·     Appointed to consult on product development and ideation for initiatives aimed at empowering young people across Scotland through data and AI, by offering technical and ethical guidance.

 

Sep ‘22

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Oct ‘23

London Interdisciplinary School, Board of Directors Member

·     Elected student representative, advocating for student interests at the highest governance level.

·     Improved accessibility for applicants from the Global South, by reviewing the university’s international scholarship offerings, considering the experiences of low-income applicants.

 

 

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Training

Sep ‘24

DeepLearning.AI, Machine Learning in Production

·     Learned MLOps practices including model deployment, monitoring, and maintenance in production environments, achieving a score of 93.2%.

 

Sep ‘23

The University of Edinburgh, Data Science in Stratified Healthcare and Precision Medicine

·     Developed skills in applying data science techniques to healthcare, focusing on personalized treatment strategies and patient outcome prediction.

 

 

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Volunteering

Nov ‘24

Slush, Volunteer

·     Volunteered at Slush Investor Day in Helsinki, supporting 2,000+ attendees from leading VCs including General Catalyst, NEA, Iconiq, Fifty Years, Felix, Atomico, and Molten, as well as event partner Bird&Bird.

 

Summer ‘24

DooBeeGood, Volunteer

·     Designed and led workshops for children aged 8-13, introducing them to the Tower of Hanoi problem.

 

 

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Portfolio

 

Civic Tech: Developing a website to further democratise planning permission engagement, using generative AI, location data, and APIs to help residents discover and support local development proposals.

 

 

Data Science: Developed a reproducible data science pipeline to model Metabolic Equivalents (METS) using motion, heart rate, and demographic data, improving R2 by 0.09 relative to a simple linear regression model.

 

UK & EU Dual Citizen