Hamza Zia

Ello!

I'm a data scientist with an MSc in Advanced Data Science from the University of Exeter, and I like the part of the job where messy, real-world data has to become something that actually works. My interests run across computer vision, deep learning, and classic ML — I've built a drone-based litter detection system that helps city councils decide which beaches and parks to clean first, and a deepfake detection model for my undergraduate research.

Alongside my studies, I worked hands-on in Python, TensorFlow, and PyTorch on customer segmentation, employee turnover prediction, and dynamic pricing, with several models holding up well in production-style settings. I enjoy the whole pipeline: wrangling the data, building and evaluating the model, and explaining the result in a way non-technical stakeholders can act on.

Education

MSc Advanced Data Science

University of Exeter, England September 2025 – September 2026

Workshop Leader — ExCode

  • Assisted students in workshop sessions to solve Python programming exercises as part of ExCode, a free student-led 7-week Python Bootcamp.
  • Bootcamp backed by Google Student Developer Club and the UoE Computer Science Society at the University of Exeter.

Research Project: Detecting Litter in Drone Imagery Using Computer Vision Techniques

  • Capturing aerial footage of UK parks and beaches using drone-mounted cameras.
  • Applying computer vision techniques to detect litter in images and video frames.
  • Generating interactive hotspot maps to help city councils identify high-litter zones and prioritise clean-up operations.

BS Computer Science

Virtual University of Pakistan, Pakistan March 2019 – March 2023

Final Year Project: Deepfake Detection by Deep Learning Methodologies

  • Developed a deep learning model to detect AI-generated deepfake content in images and videos.
  • Achieved 85% recall in identifying face swaps and voice swaps produced by generative models.
  • Employed convolutional and recurrent architectures to analyse both spatial and temporal features.

Projects

Experience

Junior Data Analyst (Remote)

FIKAR Jun 2026 – Present
  • Turning raw data into insight the business can act on.
  • Pull data using SQL and clean it, resolving gaps, duplicates, and formatting issues, to get it analysis-ready.
  • Dig into the data to identify trends and anomalies.
  • Build dashboards in Power BI and Tableau so teams have answers on demand rather than waiting on one-off requests.
  • Present findings in plain language to non-technical stakeholders, so decisions actually get made.

Data Science & Machine Learning Trainee

Dice Analytics Feb 2025 – Apr 2025
  • Built foundational expertise in machine learning concepts, data pipelines, and statistical analysis.
  • Performed data ingestion and ETL processes to collect, clean, and structure raw datasets for analysis.
  • Applied Python programming for data manipulation, preprocessing, and analytical workflows.
  • Conducted data wrangling and exploratory data analysis (EDA) to identify patterns, trends, and data quality issues.
  • Communicated analytical findings through clear data storytelling and visualization techniques.
  • Explored datasets to support problem identification, hypothesis generation, and data-driven decision making.

Accounts and IT Officer (Hybrid)

AZB Colony / AZB College Oct 2023 – Aug 2025
  • Met clients daily in the colony's real estate office, advising them on plot and house sizes to match their requirements and structuring instalment payment plans to suit their budgets.
  • Oversaw the daily accounts of a residential colony, managing bookkeeping, filing systems and monthly billing operations.
  • Maintained accurate financial records, tracking resident arrears and resolving inconsistencies at source.
  • Managed college account queries and resolved occasional billing concerns raised by parents, keeping communication clear and prompt.
  • Built an automated monthly billing and reporting system, cutting bill generation from 2 days to 3 hours.

Skills

Programming Languages

  • Python
  • SQL
  • R
  • HTML
  • CSS

Data Analysis & Tools

  • NumPy
  • Pandas
  • Power BI
  • RegEx
  • Git

Machine Learning

  • TensorFlow
  • Scikit-learn
  • Snap ML
  • PyTorch

Business Intelligence

  • BIRT (Business Intelligence and Reporting Tools)

Certifications & Trainings

Stanford University

  • Generative AI for Everyone
  • Machine Learning Specialization
  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning

Harvard University

  • CS50's Introduction to Programming with Python
  • CS50's Introduction to Computer Science

Dice Analytics

  • Data Science and Machine Learning

Kaggle

  • Introduction to Deep Learning

Contact

Email hamzazia752@gmail.com LinkedIn linkedin.com/in/hamzazia761 GitHub github.com/Hamzazia761