Elizabeth Ehuine
Data Scientist @10alytics
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WORK HISTORY
Data Scientist @10alytics
England, GB
Built and deployed machine learning models that improved churnprediction by 35%, enabling proactive customer retention strategies- Created a fraud detection algorithm using Python (Scikit-learn,TensorFlow) that reduced fraudulent transactions by 28%- Performed ETL processes on client data sources and applying SQLqueries to identify trends and obtain insights into operational andprocedural improvement- Designed a customer recommendation engine that increased cross-sell and up-sell rates by 20%, driving additional revenue growth- Implemented Natural Language Processing (NLP) models to analyzecustomer feedback, leading to a 30% increase in customersatisfaction- Collaborated with a cross-functional team of senior data scientistsand analysts in working on a variety of complex and challengingproblems.
EDUCATION
The University of Salford
Master's degree, Biomedical Sciences
Achievers University, Owo.
Bachelor of Medical Laboratory Science, Medical laboratory science
ABOUT ELIZABETH EHUINE
I am a Data Scientist with a background in Biomedical Science. I am passionate about solving complex, real-world problems using AI, machine learning, and predictive analytics. I specialise in transforming raw, high-dimensional data into actionable insights that drive smarter decision-making and measurable business impact.With a strong foundation in science, statistical modelling and analytical thinking, I uncover hidden patterns, build scalable models, and translate technical findings into strategic outcomes. I have a proven track record of collaborating with cross-functional teams to get models into production. I am passionate about applying AI responsibly in healthcare, from predictive risk modelling and disease forecasting to operational efficiency for support and evidence-based decision-making.Key areas of expertise-Machine Learning & AI (Python, Scikit-Learn, TensorFlow, Pytorch, Keras)-Database: Microsoft SQL, MySQL, PostgreSQL-Data Analytics: Tableau, Microsoft Power BI, DAX, Excel-Computer Vision: OpenCV, mediapipe-Feature Engineering, version control, Seaborn, Matplotlib, NumPy, Pandas, cloud computing, exploratory Data Analysis.I enjoy collaborating with cross-functional teams to turn business challenges into AI-driven solutions. Let’s connect and explore how data science can transform your business!
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