I'm a data-driven professional combining a unique blend of analytical expertise from both business and academic contexts. With an MSci in Cognitive and Decision Sciences from UCL and a background in Human Sciences from Oxford, I bring a strong foundation in computational modeling, statistics, and human behavior analysis to the field of data science.
In my roles leading People Operations and Talent Acquisition, I've consistently leveraged data analytics to drive decision-making—from developing predictive workforce models to conducting comprehensive analyses of hiring outcomes against performance metrics.
Currently, I'm deepening my technical expertise through intensive study in Data Science and Machine Learning, including comprehensive coursework in Python, TensorFlow, SQL, and various ML frameworks. My academic projects have included developing a Prisoner's Dilemma game using Python and Django, and working with neural networks and computational modeling.
I'm passionate about combining my understanding of human decision-making with technical data science skills to solve complex problems. My background in both people operations and cognitive science gives me a unique perspective on data analysis, allowing me to bridge the gap between technical solutions and human-centered outcomes.
Advanced Quantitative Methods (SPSS) and Computational Neuroscience.
Principles of Cognition, Statistics, Cognitive Science, Computer Programming (Python)
Neural Networks, Deep Learning in Python
Proficient in Python and Data Science libraries, comfortable with HTML, CSS, JavaScript, experience in statistical & data analysis (SQL, R).
Main interests: Machine Learning, Data Visualisation & Storytelling, NLP, CNN.
8+ years experience in building and leading international Talent Acquisition & Operations teams across EMEA.
Implemented new operational functions for small and mid-size companies within professional services.
In-depth understanding of employee behaviour and organisational design for operational, commercial and tech teams.
Experience in application of Behavioural Economics to enhance employee experience, performance & retention.
A summary of key initiatives and tools I worked on as a Talent Acquisition & People Operations Leader: leadership initiatives, Talent Management frameworks and People Ops Analytics & Project Management tools adapted for non-technical teams.
Portfolio WebsiteUsed Friends' scripts and IMBD data to create data insights using Python, NLP techniques, data visualisation tools and Jupyter Notebooks.
GitHub Repo Medium ArticleThis app generates conversations between characters from the TV show *Friends*. Customize conversations with characters, catchphrases, and unique contexts.
GitHub Repo App DeploymentA Classifier model using ResNet50 and Deep Learning, trained on WikiArt dataset to classify images into one of four art styles.
GitHub Repo App DeploymentNotion Clone using Next.js 13, React, Convex, Tailwind. Includes a real-time database, Notion-style editor, authentication, file management, page management and deletions.
GitHub Repo App DeploymentA dashboard to analyse employee data and generate insights about performance and salary, including Machine Learning insights on predictors of performance.
GitHub Repo App DeploymentAvid traveller, visited over 40 countries across 4 continents.
Completed an around the world trip in 4 months, covering almost 60,000km. Check it out on my Polar Steps.
Drawing (architecture, dry pastels, digital art).
Other media: cross-stitching, calligraphy, pottery, photography.
Aerial sports (pole/hoop/silks) and weight-lifting enthusiast.
I also regularly practice yoga and reformer pilates.