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I am a Data Science & Machine Learning practitioner with a strong mathematical foundation. My work spans end-to-end data pipelines, predictive statistical modeling (SHAP, Welch's t-test), and 3D deep learning architectures. I focus on extracting signal from complex datasets—from processing 1.66M-row census archives to engineering semi-supervised medical vision pipelines.
class SeanBiscoe:
def __init__(self):
self.name = "Sean Christopher Biscoe"
self.nationality = "UK National"
self.languages = ["English (Native)"]
self.education = "MSci Computer Science & Mathematics @ Loughborough University"
self.academic_standing = "2:1 Track (83% in Mathematical coursework)"
self.specialties = [
"Predictive Modeling & Statistical Inference (SHAP, Welch's t-test)",
"3D Medical Image Segmentation (PyTorch, Semi-Supervised Learning)",
"Data Pipeline Engineering (30% retrieval speedups)",
"Exploratory Data Analysis (EDA) & Time-Series Forecasting"
]
self.primary_stack = ["Python", "SQL", "PyTorch", "Pandas", "NumPy", "Scikit-Learn"]
def current_focus(self):
return "Applying quantitative rigor and ML to complex real-world data."| Project | Tech Stack | Key Data Science Focus |
|---|---|---|
| LUNA16_MeanTeacher | PyTorch, SimpleITK, 3D U-Net, Pandas |
Dissertation: Semi-supervised 3D segmentation using Mean Teacher (Dice: 0.8177). |
| US Census Income Predictive Model · 🔗 Live App | Orange Data Mining, Welch's t-test, SHAP, Gradient Boosting |
End-to-end pipeline on 1.66M rows. Evaluated 7 classifiers (Gradient Boosting AUC: 0.879) with SHAP + Welch’s t-test. |
| River Flow & Rainfall Pipeline | Python, NumPy, Pandas, Time-Series |
Data cleaning, PCHIP interpolation, and time-lagged feature engineering. |
| Vision Line Follower | ResNet-18, Jetson Orin Nano, OpenCV |
Real-time classifier with class balancing + temporal confidence gating. |
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🛠️ Technical Developer & Tutor/Mentor @ SPM Development Services Ltd (Sep 2025 – Present)
- Build Next.js components for data-heavy workflows
- Deliver 1:1 tutoring in Python, IT security, and infrastructure
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📊 Enrollment Data Assistant (Seasonal) @ Reed / Kingston College (Jun 2023 – Aug 2024)
- Improved data retrieval speed by 30%
- Standardised workflows and ensured data accuracy
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🎾 General Operative (Seasonal) @ Wimbledon (AELTC) (Jun 2024 – Aug 2026)
- Supported large-scale operations under high-pressure conditions
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🛍️ Retail Assistant @ Loughborough Students' Union (Jun 2024 – Present)
- Train staff, manage stock, and handle high-volume customer service
Languages & Data Science Tools
Infrastructure & Tools
- IBM: Data Analysis with Python
- EDUCBA: Regression & Forecasting for Data Scientists
- Academic Achievement: 83% in Mathematical Coursework
- Leadership: Intramural Cricket Captain
