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26-Weeks-Of-Data-Science-Assignments
January 6, 2023 – January 6, 2023
26 Weeks of Data Science Assignments is a repository that contains weekly assignments for a 26 week data science course. These assignments cover various topics in data science, including machine learning, data visualization, and statistical analysis.
View Projectbootcamp-final-assignment_using_CNN
December 24, 2022 – December 26, 2022
A machine learning model to classify the gender of a person based on an image of their eye, using a CNN. Dataset includes eye images of males and females. Model is evaluated using accuracy score.
View Projectairline-booking-prediction
December 16, 2022 – December 26, 2022
This repository contains the code and resources for a flight booking predictive model. The model is trained on customer booking data and is designed to predict the likelihood of a customer making a booking. The model is evaluated on its accuracy and f1 score. The findings are summarized in a presentation slide for management
View Projectalx-low_level_programming
December 12, 2022 – January 10, 2023
alx-low_level_programming — repository
View ProjectSentiment-Analysis
December 5, 2022 – December 27, 2022
This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and preparation, data analysis, and presentation of results and recommendations.
View Projectzero_day
December 2, 2022 – December 2, 2022
This is my third repository as a full-stack engineer
View Projectalx-system_engineering-devops
November 30, 2022 – December 7, 2022
alx-system_engineering-devops — repository
View Projectalx-zero_day
November 29, 2022 – November 29, 2022
I'm now a ALX Student, this is my first repository as a full-stack engineer
View ProjectHospital-Patients-Survival
October 31, 2022 – December 26, 2022
A machine learning model to predict patient survival rates at a hospital in Greenland, using a Random Forest classifier and patient data including diagnosed conditions, age, and previous medical history. Model is evaluated using the F1 Score.
View ProjectChurn_Model
October 26, 2022 – December 29, 2022
This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards personal data science projects, indicating a strong individual drive in this area. However, there is a lack of diversity in project types (all personal) and technologies beyond Jupyter Notebook for data science, which might limit adaptability in diverse team environments. The presence of 'low-level programming' and 'system engineering-devops' projects suggests a broader technical curiosity, but these are not directly aligned with the target Data Scientist role and appear to be introductory. The absence of team projects or open-source contributions makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are all personal and lack team collaboration context. No psychometric test results are available.