Predictive Recipe Popularity Model
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Summary
Developed a robust predictive model as an entry-level Data Scientist, focused on transforming complex data into actionable insights for digital platforms.
About
Entry-level Geospatial Data Scientist with a strong foundation in spatial modeling, GIS, and machine learning, honed through the DeepTech Ready Program. Proven ability to translate complex data into actionable insights, demonstrated by building a predictive model with 80% accuracy that optimized website traffic. Passionate about leveraging advanced geospatial analytics and data science techniques to solve environmental and agricultural research challenges.
Education
Data science Nigeria
Lagos, Lagos State, Nigeria
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Program
Geospatial Data Science
Courses
Data Acquisition and Management
Remote Sensing for Geospatial Analysis
Geospatial Data Analysis With Python
Machine Learning For Geospatial Data
Spatial Statistics and Spatial Data Science Techniques
Geospatial Data visualization and Cartography
Applied Spatial Epidemiology
Darey.io
Lagos, Lagos State, Nigeria
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Program
Machine Learning & Advanced Analytics
Courses
Machine Learning building unsupervised and supervised models (Multinomial Naïve Bays, Support Vector Machine, and Decision Trees)
Cross Validation and Hyper parameter tuning and Feature engineering, Dimensionality Reduction and Ensemble Learning
K-means, Hierarchical Clustering, Time Series Analysis, Association Rule Learning, Advanced Reinforcement Learning, Recommendation Systems, Anomaly Detection
Natural Language processing, Deep Learning, Sentiment Analysis with Neural Network
Datacamp
Online
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Coursework
Data Science Fundamentals
Courses
Data cleaning
Data manipulation
Data wrangling
Data visualization
Data Analysis and Querying database with SQL
Statistics
Probability
experimental design
University Putra Malaysia
Serdang, Selangor, Malaysia
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MSc
Agronomy
Languages
English
Certificates
3MTT AI/Machine Learning Certificate
Issued By
3MTT
DataCamp Data Scientist certification
Issued By
DataCamp
Skills
Data Science & Analytics
Data Science, Geospatial Data Science, GIS, Spatial Statistics, Machine Learning, Python, R, SQL, PostGIS, Data Acquisition, Data Management, Remote Sensing, Geospatial Analysis, Data Visualization, Cartography, Applied Spatial Epidemiology, Unsupervised Learning, Supervised Learning, Multinomial Naïve Bays, Support Vector Machine, Decision Trees, Cross Validation, Hyperparameter Tuning, Feature Engineering, Dimensionality Reduction, Ensemble Learning, K-means, Hierarchical Clustering, Time Series Analysis, Association Rule Learning, Advanced Reinforcement Learning, Recommendation Systems, Anomaly Detection, Natural Language Processing (NLP), Deep Learning, Sentiment Analysis, Neural Networks, Data Cleaning, Data Manipulation, Data Wrangling, Database Querying, Statistics, Probability, Experimental Design.
Soft Skills
Leadership, Communication.