Cynthia Ifeanyi
Liverpool
Summary
Data Scientist with strong experience in machine learning, time-series forecasting, LLM evaluation, and applied data modelling across energy, finance, and safety-critical domains. Proven ability to design end-to-end data solutions, build predictive models, analyse large datasets, and develop explainable insights for operational and strategic decisions. Skilled in Python, SQL, AI model evaluation, and multi-agent interaction design. Experience spans work with energy forecasting, payment risk modelling, educational AI tools, human–AI evaluation tasks, and real-world machine learning deployment. Strong interest in AI for learning, human–AI collaboration, and multi-agent systems.
Overview
3
3
years of professional experience
Work history
Data Scientist
SimpleLight Ltd
Liverpool
01.2023 - 11.2025
- Designed forecasting models to predict supplier revenue, energy usage seasonality, and payment behaviour.
- Built machine learning classification systems to identify recurring, upfront, and irregular payment patterns.
- Engineered SQL-based data pipelines using PostgreSQL, improving data reliability for forecasting.
- Designed Power BI dashboards for meter-level reconciliation, supplier payments, and commission validation.
- Led development of predictive features integrating seasonality effects, lag patterns, and supplier risk scores.
- Automated invoice extraction using Power Automate, reducing manual workload.
- Conducted anomaly detection to flag unusual supplier behaviour and potential payment risks.
- Developed end-to-end forecasting prototypes combining Python, SQL, and Power BI.
Freelance LLM Annotator / AI Evaluator
Outlier AI
Remote
01.2023 - 11.2025
- Evaluated outputs from large language models (LLMs) for correctness, tone, reasoning, and safety.
- Performed structured instruction-following assessments for model alignment.
- Annotated datasets for model improvement in areas such as classification, writing assistance, and reasoning.
- Contributed to training datasets for cutting-edge AI systems used in research and industry.
- Gained hands-on experience with human–AI interaction patterns, feedback design, and response quality analysis.
AI & Educational Technology Developer (Independent Project)
01.2023 - 11.2025
- Designed an offline-first coding learning platform for African children with limited internet access.
- Built personalised learning paths integrating simple AI feedback loops.
- Created interactive coding lessons, block-based learning tools, and tailored exercises for early learners.
- Developed prototype teacher dashboards for monitoring learner progress.
Data Analyst / Data Scientist – Placement
Camlin Energy
01.2023 - 01.2023
- Developed predictive load-growth models aligned with UK Net Zero 2050 targets.
- Analysed LV network behaviour using smart meter data, identifying patterns in demand spikes and distribution risk.
- Built early-warning prototypes for fault detection and transformer stress using ML-driven load profiling.
- Performed exploratory analysis on voltage and current measurements to guide network optimisation decisions.
Education
MSc - Data Science and AI
University of Liverpool
Skills
- Programming: Python, SQL, R, JavaScript
- AI & ML: LLM evaluation, transformer-based modelling (conceptual), classification, regression, anomaly detection, clustering, NLP concepts, uncertainty modelling
- Tools: Power BI, Git, Jupyter, Databricks, TensorFlow (intro), PyTorch (intro)
- Data: Time series forecasting, feature engineering, large-scale data cleaning, data pipelines
- Other: Prompt engineering, multi-agent AI interaction, educational tech design
REFERENCES
Available on request.
SELECTED PROJECTS
Supplier Payment Forecasting Engine, Built a two-step ML system predicting likelihood and magnitude of supplier payments., Engineered features from payment histories, seasonality, and contract metadata., Net Zero Load Growth Prediction, Modelled electricity demand evolution for UK distribution networks., Analysed effects of EV adoption, heat pumps, and renewable integration., Coding Education Platform for Children, Developed curriculum, interactive lessons, and AI-assisted hints for young learners., Designed user-friendly interfaces and offline learning features., LLM Evaluation Framework (Freelance), Conducted structured evaluations of LLM reasoning and writing., Gained deep insight into prompt effectiveness and multi-agent feedback quality.
AWARDS & ACHIEVEMENTS
Employee of the Month – SimpleLight Ltd, Published internal forecasting framework used for revenue planning, Recognised as a LivWiSE Role Model – University of Liverpool, Selected to present “Powering Christmas Sustainably” at LivWiSE Christmas Lecture, Successfully delivered cross-functional forecasting and commission automation tools
RESEARCH EXPERIENCE
- Time series energy forecasting (MSc + industry)
- Multi-agent AI interaction concepts (independent study)
- Machine learning for behavioural pattern prediction
- Interpretability and uncertainty in predictive systems
- Human-AI collaborative writing and feedback evaluation (via Outlier and educational project work)
- Sensor-based prediction models in energy networks (Camlin)
ADDITIONAL SKILLS
- Strong communication and presentation skills
- Experience preparing technical documents for non-technical audiences
- Knowledge of education-focused AI design
- Experience working with cross-disciplinary teams
- Comfortable working independently and handling complex analytical tasks
Timeline
Data Scientist
SimpleLight Ltd
01.2023 - 11.2025
Freelance LLM Annotator / AI Evaluator
Outlier AI
01.2023 - 11.2025
AI & Educational Technology Developer (Independent Project)
01.2023 - 11.2025
Data Analyst / Data Scientist – Placement
Camlin Energy
01.2023 - 01.2023
MSc - Data Science and AI
University of Liverpool