Data Engineer

Selcom Paytech Limited

September 2024 - Present

• - Develop and deploy data science products, including a credit scoring engine for Selcom Bank and Selcom Pesa, improving the accuracy of loan disbursement decisions.
• - Engineer and deploy APIs to integrate machine learning models into production systems, ensuring seamless communication between platforms.
• - Analyze large-scale datasets to extract actionable insights, informing business decisions across departments.
• - Develop  interactive dashboards and reports, optimizing data-driven decision-making for stakeholders.
• - Collaborate with cross-functional teams to ensure efficient and scalable data pipelines and real-time data processing systems.

Head of Data Science & Machine Learning

Tausi

January 2024 - Present

• - Developed and implemented credit scoring solutions using advanced data science techniques to accurately assess borrower risk and improve decision-making processes for financial institutions.
• - Performed extensive feature engineering and data preprocessing to enhance our solution performance.
• - Collaborate with cross-functional teams, including software engineers and data engineers, to integrate credit scoring solutions and statement analysis functionalities into the company's financial products.
• - Conduct extreme data validation and quality assurance tests to ensure the accuracy and reliability of credit scoring solutions and statement analysis outputs.
• - Create interactive dashboards to visualize credit scoring metrics, borrower risk profiles and statement analysis results.
• - Leading the development and implementation of data science projects, ensuring they align with business goals and objectives.

NLP Engineer

Badili Innovations

January 2023 - October 2023

• - Collaborate with domain experts to gather and curate a comprehensive dataset of Swahili speech samples related to livestock diseases
• - Implement data cleaning and preprocessing techniques to ensure the dataset's quality and integrity.
• - Conduct data analysis to identify potential biases, variability, and challenges specific to the livestock domain.
• - Research and experiment with state-of-the-art ASR algorithms, architectures, and models suitable for Swahili language processing.
• - Design and develop a robust ASR model pipeline tailored to Swahili speech datasets.
• - Conduct extensive training on the curated Swahili dataset, optimizing the model's performance through iterative experiments and fine-tuning.
• - Design and implement an efficient and scalable API that enables seamless integration of the ASR model into mobile applications and websites.
• - Collaborate with web and Android developers to ensure the API's usability and compatibility with different platforms.
• - Prepare the ASR model for deployment, considering model size, inference speed, and resource requirements.
• - Containerize the ASR model using Docker, enabling easy deployment and scalability.
• - Implement monitoring and logging mechanisms to track the performance and health of the deployed ASR solution.
• - Continuously evaluate and improve the ASR system, incorporating user feedback and conducting regular maintenance and updates.

Course Author

Educative Inc

November 2022 - Present

• - Design and structure the overall curriculum to meet educational goals and standards for the course.
• - Write and develop course materials, including,  learning notes, assignments,quiz and projects.
• - Create or oversee the creation of multimedia resources such as presentations, illustrations and interactive modules.
• - Work with instructional designers and educational technologists to ensure accuracy and pedagogical soundness.
• - Develop assessments and evaluation tools to measure student learning and course effectiveness.
• - Regularly review and update course content to keep it current and relevant.
• - Assist students in answering various questions and offer ongoing support.

Data Scientist

Tanzania Data Lab (Dlab)

July 2022 - August 2024

• - Identify valuable data sources and automate the collection processes.
• - Managing structured and unstructured data to find useful information.
• - Analyze large amounts of information to discover trends and patterns.
• - Build predictive machine learning models to solve business challenges.
• - Present information using data visualization techniques.
• - Propose solutions and strategies to different business challenges.
• - cooperating on numerous initiatives with the communication and product development teams.
• - Custom design, development, and delivery of data science training workshops based on the organization's needs.

Technical Writer

Draft.Dev

July 2022 - Present

- Writing curated technical articles about Artificial Intelligence, Data Science, Machine Learning, Python Programming Langauge and other related topics.

- Organize and structure complex technical concepts into coherent and user-friendly content.

- Use appropriate writing styles and techniques to cater to different target audiences, including end-users and developers.

Senior Software Developer & Project Lead

TYD Innovation Incubator

February 2018 - Present

• - Developing various web applications to solve complex business and community challenges.
• - Mentoring and training new developers.
• - Design and develop an e-learning application to support 740 students to access digital materials, learn and discuss with lecturers
• - Coordinating different business projects and managing other Developers to complete the works.
• - Identified new problem areas and researched technical details to build innovative products and solutions.
• - Supervising various teams across different cities to collect and annotate speech-to-text datasets.
• - Created a data collection platform that allows users to upload data and automatically assess the data's quality for NLP tasks.
• - Preparing budgets and reports for various projects.

Data Scientist

ParrotAI

January 2018 - December 2020

• - Leading a team of data scientists to work on various machine learning projects and deliver solutions on time.
• - Conducting meetings with stakeholders to meet their expectations.
• - Provided comprehensive analysis and recommended data science solutions to address complex customers' problems in their business.
• - Collect business needs and technical specification documents, which will be transformed into technical tasks and solutions.
• - Supervising data science training programs to teach experts from different industries across different cities.
• - Created a computer vision model for early detection of "Fusarium wilt race 1" and "Black Sigatoka" banana diseases.
• - Built a machine learning model that can predict whether or not a person living in the Dar es Salaam region would contract cholera.