Sadiq BalogunData Scientist
Professional Summary

Data Scientist with 3+ years of experience applying machine learning, data analysis, and visualisation across academia and technology sectors. Developed a data mining tool that digitised legacy graphical data with 94% accuracy and integrated a generative AI (LLaMA 4 Scout) interface—reducing query times for researchers by over 70%. Delivered cross-department Power BI dashboards that cut manual reporting by 2 hours daily and led A/​B experimentation on data annotation training that improved quality by 20%.

Education
MSc Applied Data Science - Distinction, Teesside University
09/2022 – 05/2024
BSc Agricultural Engineering - 2:2, Obafemi Awolowo University
09/2011 – 09/2016
Certificates
AWS Machine Learning Engineer Associate — August 2025
Referees
Availabe upon request.
Work History
Data Scientist, University of Leeds
09/2024 – 09/2025 | Leeds, UK

Optimised research processes and informed city-wide social care strategies via delivery of scalable AI and predictive analytics solutions; automated data mining, reduced costs, and enabled data-driven decision-making for public sector stakeholders:

  • •Enabled strategic resourcing for local authorities by developing monthly demand forecasting tools, providing data-led insights for social care planning.
  • •Supported targeted interventions in children’s care by conducting geospatial analysis over 300+ areas.
  • •Informed decision-making among non-technical stakeholders having influenced policy and planning by delivering tailored data visualisations.
  • •Created three statistical datasets by consolidating nine SQL tables and producing 20,000+ records to power predictive analysis in social care.

    • Key achievements

  • •Enhanced analysis efficiency by deploying an automated Python data mining tool with 95% accuracy; processed large research plots at scale.
  • •Achieved 90% query accuracy and reduced data retrieval time 80% by introducing natural language to SQL system using LLM APIs.
  • •Increased query performance 40% and mitigated data loss after designing a normalised database schema with optimised indexing.
  • •Reduced environment setup time 70% by containerising data mining applications with Docker for reproducible deployments.
  • •Cut lab testing costs 90% via the development of an accurate predictive ML model for research analysis.

    • Data Analyst, Hugo Technologies
    09/2020 – 09/2022 | Lagos

  • •Built and maintained 8 interactive Power BI dashboards tracking key performance indicators, reducing management decision-making time by 2 hours daily through automated reporting. across multiple departments.
  • •Led an ETL data migration solution of 1.5 million records using SQL optimisation and Python automation, improving analytical performance.
  • •Designed and executed A/​B experiments to evaluate annotation team performance metrics, identifying a 20% improvement in data quality through statistical analysis and experimental controls.
  • •Led weekly stakeholder meetings, presenting performance metrics and data-driven recommendations; improved client decision-making speed and maintained 100% project alignment through consistent reporting.
  • •Collaborated with cross-functional teams to integrate analytical insights into operational processes, demonstrating ability to work with engineering and product teams.
    • Site Manager, Projects-Link Technology Ltd
    03/2018 – 08/2020 | Lagos

  • •Led a team of 20 employees, effectively managing their daily tasks, schedules, and performance to ensure the timely completion of projects.
  • •Successfully delivered high-quality projects within budget and on schedule.
  • •Optimised site operations with data-driven processes, boosting productivity by 15%.
  • •Collaborated with cross-functional teams, including engineers, architects, and contractors, to successfully deliver high-quality projects within budget and on schedule.

    • Skills
    Programming & Data Tools:  Python, PySpark, SQL, Git/GitHub, MLFlow
    Technical Skills: AI integration, Predictive analytics, Hypothesis testing, Time-series forecasting, ETL, Data visualisation, Data storytelling, Version control
    Soft Skills: Cross-functional collaboration, Communication, Problem-solving, Stakeholder management, Self-motivated
    Cloud Platform: AWS, GCP