About Me
My introduction
I'm a machine learning enthusiast with a background in software engineering who is interested in providing organizations with effective and scalable solutions to problems.
possesses a wide range of experience in framing issues for business cases, gathering and analyzing data, executing AI system trials and tests, creating and implementing ML systems,
and reworking business procedures as a part of delivering compelling values to major clients.
Also, passionate and strategic about leveraging my skills to help young people achieve their professional development goals and educate the local community on technology usage best practices.
As an ambassador for organizations like Microsoft and Zindi Africa, I made significant contributions to many businesses and African communities.
Qualifications
Applied Data Science Lab
WorldQuant University, USABsc. Software Engineering
University of Dodoma, TanzaniaPortfolio
My works
Audio Analysis
I wanted to gain experience on working with unstrustured data(audio). using Librosa python library created an audo analysis from waveform, spectrogram and Mel Frequency Cepstral Coefficients. was very interesting finding..
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Audio Classification
Using cat and dog audios datasets. I developed a deep learning model to perform classification at the end i documented every step on an article and deployed the model on hugging face space.
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Decision in Swahili social media sentiments
Developed a machine learning model for Swahili social media sentiment classification with the interpretability of each prediction of our final model using Local Interpretable Model-Agnostic Explanations.
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Digital Learning Education App
Student drop-out and performance prediction solution, Using machine learning model from students historical data.
The app can predict the performance of a students and likehood of a student to dropout from school due to diffrent factor The application is functional for both online prediction and batch data prediction.
Delivery Riders Resiponse
Developed a machine learning Model for Sendy company to predict whether a rider will accept, decline or ignore an order sent to them.
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Email Automation with python
Implemented a python script to automate email process to multiple receipts from excel file...
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Tanzania Tourism Expenditure
Build a machine learning Model to predict the cost expected to be spent by tourist when visit Tanzania national parks based on the analysis of tourists historical data.
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Swahili Text to Speech App
Build a Swahili text to speech App, using Google Application programming interface, the solution deployed on Hugging face space.
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My writing contributionsLow Resource Languages Vs Conversational Artificial Intelligence
September 2022Read here
The cause of a decision in Swahili social media sentiments
August 2022Read here
Swahili text classification using transformers
June 2022Read here
Understanding How to Evaluate Textual Problems
September 2022Read here
Data augmentation in natural language processing
August 2022Read here
The Art of communicating results in data science
June 2022Read here
Audio classification using deep learning
May 2022Read here
Understanding spacy process pipelines
May 2022Read here