About Me
Hi, I'm Joshua Musira, a Nairobi-based Data Scientist and Full Stack Developer passionate about building systems that are as intelligent as they are useful.
I work at the intersection of AI, data and software engineering. Whether it's training machine learning models, building LLM-powered applications, integrating IoT hardware with smart dashboards or shipping full-stack web platforms — I bring the full picture together. My toolkit includes Python, React, FastAPI, LangChain, OpenAI, Node.js, Docker and cloud platforms like AWS and Azure.
I have delivered real projects across credit risk modeling, sentiment analysis, algorithmic trading, geospatial analysis and workflow automation. I'm driven by curiosity, fueled by coffee, and committed to building things that make a measurable difference.
Satisfied clients
Projects Completed
Years of experience
Skills
As a Data Scientist
As a Full-Stack Developer
As an IoT & Systems Engineer
Education
Bachelor Of Science In Software Engineering
2021-2025 | Kirinyaga UniversityI'm currently pursuing a Bachelor of Science in Software Engineering at Kirinyaga University, and it's been an incredible journey so far! The program has given me a solid foundation in software development and computer science. I've delved into everything from data structures and algorithms to databases and computer networks. One of the highlights has been getting hands-on with real-world projects, where I've built applications using Java, Python, and React. I've also developed a keen interest in data science, exploring machine learning and big data analytics. Beyond the classroom, I've loved participating in coding competitions and tech meetups, which have been fantastic for learning new skills and meeting fellow tech enthusiasts.
Experience
Technical Support @Landstar Engineers Ltd
04/08/2025 - Present | 12th Floor, One Padmore Place, George Padmore Rd, Kilimani, P. O. Box 23130 – 00505, Nairobi – KenyaImplemented secure RESTful APIs and WebSocket communication protocols to facilitate communication between frontend applications and IoT hardware. Developed responsive front-end interfaces using React.js and integrated them with Node.js backend services to ensure seamless user experiences. Engineered and optimized machine learning workflows and automated model training pipelines to increase operational efficiency.
ICT Intern @Landstar Engineers Ltd
03/01/2025 - 04/08/2025 | 12th Floor, One Padmore Place, George Padmore Rd, Kilimani, P. O. Box 23130 – 00505, Nairobi – KenyaDesigned and implemented RESTful APIs to connect front-end interfaces with IoT hardware and backend services. Developed real-time data processing pipelines using Python and MQTT to handle sensor data from IoT devices. Built interactive dashboards with React and D3.js to visualize IoT data and provide actionable insights for monitoring and decision-making. Collaborated with cross-functional teams to integrate IoT solutions into existing systems, ensuring seamless data flow and functionality. Gained hands-on experience with cloud platforms like AWS for deploying and managing IoT applications.
Data Scientist Intern @Sankhyana Consultancy Services Pvt.Ltd.
13/03/2024 - Present | View Park Towers, 9 & 10 Utali st Lane.As a Data Scientist Intern at Sankhyana Consultancy Services, I have been involved in various data analysis and machine learning projects. My responsibilities include cleaning and preprocessing data, performing exploratory data analysis, and building predictive models using Python. I also work closely with senior data scientists to implement algorithms and analyze results to provide actionable insights for clients. Additionally, I have contributed to the development of data visualization dashboards using tools like Tableau and Power BI to effectively communicate findings to stakeholders.
Data Science Intern @Cognorise Infotech
20/06/2024 - 20/07/2024 | Chennai, India.As a Data Science Intern at Cognorise Infotech, I worked on various data analysis and machine learning projects during a virtual 1-month internship. My responsibilities included cleaning and preprocessing data, performing exploratory data analysis, and building predictive models using Python. I worked on four projects: car price prediction, shopper sentiment analysis, cinema tickets, and fake news detection. I smartly worked without supervision to implement algorithms and analyze results to provide actionable insights for clients.
Machine Learning Intern @Mentorness
10/02/2024 - 11/03/2024 | Ahmedabad, Gujarat, India.During my internship at Mentorness,I worked on several machine learning projects aimed at developing and optimizing models for various applications. My tasks included data collection and preprocessing, feature engineering, and model training and evaluation using Python and popular ML libraries such as scikit-learn and TensorFlow.Including deployment on Azure.
Data Science Trainee @Sankhyana Consultancy Services Pvt.Ltd.
18/10/2023 - 23/03/2024 | View Park Towers, 9 & 10 Utali st Lane.During my training at Sankhyana Consultancy Services, I gained hands-on experience in various aspects of data science, including data analysis, machine learning, and statistical modeling. I focused on deep learning models and natural language processing (NLP). My training involved data preprocessing, feature extraction, and building neural networks using frameworks like Scikit-Learn, TensorFlow and Keras.Throughout my training, I collaborated with my peer trainees and participated in weekly challenges and intereviews to enhance both my Soft and Technical skills.
Software Development Trainee @The Jitu
02/03/2023 - 05/08/2023 | Nyeri Town, KenyaAs a Software Development Trainee at The Jitu, I underwent comprehensive training in various software development technologies and methodologies. My training included hands-on experience with JavaScript and TypeScript for front-end and back-end development. I built web applications using React, and developed server-side applications with Express. I worked with MSSQL for database management, and utilized Docker for containerization to ensure consistent development environments. Additionally, I gained experience deploying applications on Azure, and participated in the full software development lifecycle, from requirements gathering to deployment and maintenance. Throughout the training, I collaborated with a fellow developers and contributed to various projects, enhancing my technical and problem-solving skills.