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Tara User

@tara

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Machine Learning Engineer with a PhD in Civil Engineering.

United Kingdom

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, with opportunities for growth.

I am a Machine Learning Engineer at IntegrumESG, where I leverage my extensive experience across both industry and academia. My projects have focused on advanced clustering methodologies, large language models, and computer vision, utilizing high-performance computing resources to run large-scale simulations. My academic background includes a PhD in Sustainable Civil Engineering from Imperial College London, where I honed my problem-solving and communication skills.

In my current role, I led a computer vision project that involved fine-tuning the YOLO model for table detection, ensuring accurate data annotation and developing a task-specific metric for performance evaluation. I have also contributed to NLP projects, including the development of a sentiment-based ESG filter, showcasing my ability to process and analyze complex datasets effectively.

Throughout my career, I have demonstrated a strong commitment to continuous learning and improvement, as evidenced by my involvement in various data science roles, including internships and fellowships. I am passionate about utilizing my skills in Python, SQL, and machine learning frameworks to drive impactful solutions in the field of data science.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

IntegrumESG

Jul 2024 - Present (10 months)

As a Machine Learning Engineer at IntegrumESG, I led a computer vision project focusing on table detection using YOLO, developed a Streamlit application for data preprocessing, and contributed to an NLP project for sentiment analysis of ESG content. My role involved modifying ML pipelines and writing comprehensive tests to ensure robust model performance.

Machine Learning Computer Vision YOLO Streamlit NLP Docker Python SQL Testing

Data Science Fellow

Pivigo

Feb 2024 - Mar 2024 (1 month)

During my time as a Data Science Fellow at Pivigo, I worked on a project to create a chatbot for hydrogen standards. This involved processing and cleaning documents, experimenting with various text splitting methods, and optimizing information retrieval using advanced techniques.

Data Science Chatbot Development Information Retrieval Python NLP Machine Learning

Data Science Intern

nPlan

Jun 2022 - Oct 2022 (4 months)

As a Data Science Intern at nPlan, I utilized scikit-learn for clustering analysis, performed SQL queries on datasets, and provided benchmarking insights for clients. My work involved exploring various clustering methods and assessing their effectiveness.

Data Science Clustering SQL scikit learn Benchmarking Data Analysis Python Machine Learning

Education

Degrees, certifications, and relevant coursework

Imperial College London

PhD, Civil Engineering

2018 - 2024

Grade: 1

Activities and societies: Graduate Teaching Assistant for MATLAB modules in Environmental Modelling and Computational Methods.

Conducted a PhD in Sustainable Civil Engineering focusing on the behavior of granular materials during drained cyclic loading. Utilized high-performance computing for large-scale simulations and developed skills in Python and MATLAB for data processing and visualization. Presented findings at international conferences and published two papers as the first author.

Imperial College London

MSc, Geotechnical Engineering

2017 - 2018

Completed an MSc in Geotechnical Engineering, focusing on advanced engineering principles and practical applications. Developed a script in FISH and created a GUI in PyQt5 for data management.

City, University of London

BEng with Honours, Civil Engineering

2014 - 2017

Earned a BEng with Honours in Civil Engineering. Conducted a thesis on movable bridges, creating a model of the Gateshead Millennium Bridge and analyzing material applications using AutoCAD and STAAD.Pro.