Bashira Abdulrahman

Geospatial Data Scientist

Katsina, NG.

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

3MTT

DataCamp Data Scientist certification

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.

Projects

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.