Martin-Luther Anthony
Data Scientist @Bitpiler
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WORK HISTORY
Data Scientist @Bitpiler
Developed sentiment analysis and text classification models using VADER and Multinomial Naive Bayes to extract actionable insights from user reviews• Applied NLP techniques to identify health-related data patterns, enabling targeted interventions through K-means and Hierarchical Clustering.• Built Random Forest and KNN classification models to predict student outcomes (graduate, enrolled and dropout), optimizing educational resource allocation. • Designed and normalized a hospital management system database to 3NF using advanced SQL, ensuring efficient data storage and retrieval.• Utilized Python libraries (Pandas, NumPy, Matplotlib) for data manipulation, visualization, and preprocessing tasks.• Enhanced predictive models with XGBoost, Random Forest and Decision Trees to determine diabetes status and predict blood pressure conditions, achieving high precision and recall.
EDUCATION
The University of Salford
Master of Science
Federal University of Technology Owerri Nigeria
Bachelor of Technology
The University of Salford
Master of Science - MS
ABOUT MARTIN-LUTHER ANTHONY
With a proven track record of driving operational excellence, I leverage my expertise in…
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