Help & Supportcareers@gravityer.com
Data Scientist @dlab-tz | Software Developer | Technical Writer | ML Course Author
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tanzania Data Lab (Dlab)
Data Scientist
June 23, 2026 – Present
Tanzania-Tourism-Prediction-App
March 16, 2022 – August 24, 2022
A simple machine learning app to predict how much money a tourist will spend when visiting Tanzania.
View ProjectFinancial-Inclusion-in-Africa-App
March 10, 2022 – August 24, 2022
A Data science app to predict who in Africa is most likely to have a bank account?
View ProjectDeploy-NLP-Model-with-FastAPI
June 11, 2021 – August 12, 2021
Learn how to build and deploy NLP model with FastAPI
View ProjectConvert-Trained-ML-Models-To-Native-Code
January 23, 2021 – February 2, 2021
How to use m2gen python library to transform a trained machine learning models to native code such a python, php and javascript.
View ProjectDetect-and-Translate-Text-Data
January 9, 2021 – January 13, 2021
How to detect language and translate text data into the language of your choice when working on a NLP project
View ProjectLaravel-SMS-Spam-Detection
November 23, 2020 – November 29, 2020
Deploy a NLP model in Laravel Application to detect SMS spam messages.
View ProjectHyperparameter-Optimization-Techniques
September 13, 2020 – October 4, 2020
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
View ProjectRandom-Forest-classification-Tutorial
August 1, 2020 – August 1, 2020
Introduction to Random Forest Algorithm for classification problem and how to select important feaatures in your dataset.
View ProjectSMS-Spam-Text-Classification
March 16, 2020 – August 20, 2024
How to classifiy spam sms by using NLP
View ProjectModel-Deployment-by-using-Flask
June 6, 2019 – February 10, 2021
How to deoploy your machine learning model by using Flask Framework
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Data Science, which aligns with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact. The single professional experience listed is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.