▫️Itoro Liney

Principality Building Society

Data Science & Analytics Manager

•Developing customer insight and data science strategy for Principality.

•Managing a team of 7 data analysts / scientists - Team responsibilities include; customer and product analytics (including but not limited to; MI, Profiling, Predictive modelling), campaign selection, marketing effectiveness.

•Leading on key analytical projects including; Price Optimisation, Segmentation

Customer Insights Analyst

King's College London

Modules: 

* Artificial Intelligence Reasoning and Decision Making
* Data Mining
* Computer Programming for Data Scientists (Python)

Teaching Assistant

Carruthers and Jackson

Data Leaders' Summer School

The OR Society

Consultant on Operational Research in Schools (ORiS) project.

Analytics Consultant

Legal & General

Key Achievements
•	Successfully implemented high value customer segmentation model which led to better acquisition and retention strategies for the business.
•	Reduced marketing departmental spend by setting up acquisition response modelling.
•      Team setup; first analyst in a newly formed team. Assisted analytics manager in recruiting and training new analysts. Set up team data science processes.


Duties
•	Responsible for providing customer insights to marketing department in order to optimise marketing strategy / spend.
•	Developing and delivering analytics using; Regression, Clustering, PCA and other machine learning techniques
•	Managing and planning end to end delivery of stakeholder requests.
•	Converting insights to business recommendations and communicating these to senior management and nontechnical stakeholders.
• Deputising for analytics manager.
•	Recruiting and mentoring junior team members.

Insight and Modelling Analyst

Infineon Technologies

Key Achievements
•	Successfully project managed end to end new product set up for high profile/business critical project across multifunctional teams which led to the company gaining strategic market position.
•	Provided analysis, modelling and programming support to the Gallium Nitride Power Device team which improved R&D learning cycle time by 8%


Duties
•	Developed and improved the manufacturing process for gallium nitride (GaN) transistor.
•	Carried out electrical analysis of devices which helped understand performance and robustness of key parameters.
•	Carried out statistical analysis of devices which informed next round of design experiments and relationships between input and output parameters.
•	Worked with cross-functional teams including; design, fabrication, assembly, testing, packaging and sales to bring the product to market.
•	Communicated project status to senior stakeholders.

Technology Development Engineer (Gallium Nitride Devices)

Nexperia acquires Newport Wafer Fab

Key Achievements
•	Conceived, designed, built and implemented in-house anomaly detection system which led to earlier problem detection by engineering teams and significant reduction in customer returns which in turn led to internal award and recognition.
•	Instrumental in identifying and resolving failure mechanism impacting on supply chain delivery to key client by providing excellent analysis, detailed engineering work and dedication. This resulted in internal award and recognition.
•	Solely accountable for specifying technical requirements and contracting with external suppliers for the supply of business critical raw material. Resulted in internal site recognition award.


Duties
•	Monitored the yield and electrical performance of transistors at the end of the manufacturing line.
•	Identified failing transistors and carried out analysis to understand and isolate root cause.
•	Optimised and improved manufacturing process to aid bottle necks in the factory and to make more electrically robust devices.
•	Trained and mentored junior engineers and technicians on statistical analysis and presentation.

Process Integration Engineer (Silicon Devices)

I lead a brilliant team of data scientists and data analysts. We use machine learning, statistical and data visualization techniques to generate  insights for the Marketing, Product and Finance teams. 

When I'm not doing this, I'm usually carrying out research as part of a (part time) PhD programme.

Expertise in Engineering, Statistics and Computer science.

Passionate about empowering women in STEM

Views are my own.

Contact me for;
➡️ Joining a non-profit board
➡️ Speaking engagements on topics such as: Fairness and bias in Machine Learning, AI Ethics, Data Science

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