Hi, I'm Bryan Bosire. A Machine Learning Engineer.

Machine Learning Engineer with interests in Data Science and Natural Language Processing. Proven record in building and productionizing innovative Machine Learning Systems using best software engineering practices. Skilled in Machine Learning Operations(MLOps),Python,Scikit-Learn,FastAPI,Flask,PyTorch and PySpark.

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About memy stats

Information About Me

Impact-driven data scientist with experience in Python,SQL, experimentation (traditional A/B testing and custom experimental design), casual inference, machine learning, ETL pipelines, time series forecasting and business recommendation focused data analysis.

Domain agonistic, but particularly enjoying working on growth teams, accelerating growth through creative strategies, product innovation, data-driven insights and rigorous experimentation.

I love that I can flex my creative thinking, business judgment, product sense, coding, modeling and communication skills in one job. I am currently undertaking my master’s thesis research in Multimodal Machine Learning for Natural Language Processing.

50+

Projects
Completed

3+

Years of
Experience

20+

Happy
Clients

30+

Customer
Reviews

My Skills

PYTHON

100%

APACHE SPARK

100%

SQL

100%

MLFlow

100%

PANDAS/NUMPY/SCIPY

100%

Docker

100%

TensorFlow

100%

AWS/GCP CLOUD

100%

PyTorch

100%

FastAPI/FLASK

100%

Scikit-Learn

100%

MLOps

100%

My Timeline

05/2022 - 11/2022

Software Developer -Moringa School

Moringa School Full Stack Software Engineering BootCamp

  • • Develop full-fledged web application using Ruby on Rails
  • • Ideate and develop interactive single page applications consuming APIs focusing on ReactJS framework.
  • • Used AJAX, JSON with jQuery for request data and response processing.
  • • Coded, compiled, tested, deployed and pitched software group projects to partners.
  • • Developed unit tests and validation using contemporary tools (Travis CI and Circle CI) for continuous integration.
  • • Agile software development.
  • • Containerization with docker.

2022 - present

MSc.IT, Computational Intelligence -Strathmore University

  • • Artificial Intelligence Programming.
  • • Machine Learning.
  • • Knowledge-based Systems.
  • • Advanced Language Technologies.
  • • Knowledge Engineering and Society.
  • • Knowledge Discovery and Data Mining.
  • • Multi-agent Systems.
  • • Knowledge Representation & Reasoning.
  • • Intelligent Systems Modelling.
  • • Embedded Intelligent Systems.
  • • Analytics and Business Intelligence.
  • • Image and Vision Systems.

01/2020 - 03/2021

Data Scientist -Twiga Foods Limited

Twiga is an e-commerce startup that provide a complete supply chain in Kenya for quality FFV produce and FMCG products in urban areas.

  • • Proactively identified valuable data sources and automated collection process saving 15 hours of manual work per week.
  • • Framed business problems clearly in terms of modeling analysis to support strategic decision making in terms of KPIs.
  • • Built and deployed machine learning models to predict customer churn and to identify the most profitable customers with 90% accuracy.
  • • Built customer segmentation models to identify customers based on their tastes and preferences thus increasing monthly sales by 15%
  • • Built a recommendation system to recommend products to customers based on their tastes and preferences.
  • • Built a model to predict the number of orders a customer will place in the next 30 days increasing productivity 20%.
  • • Analyzed data from company databases to drive optimization and improvement of product development and business strategies.

2022 - 2022

Full Stack Software Engineer -Moringa School

Course Includes:

  • • HTML5
  • • CSS3
  • • SASS
  • • Git
  • • JavaScript
  • • SQL
  • • Ruby on Rails
  • • JSON
  • • Redux Frameworks
  • 01/2019 - 12/2019

    Data Scientist -TechCamp Kenya

    Data consultancy firm providing business intelligence and data solutions to companies in Kenya.

    • • Automated exploratory data analysis to discover patterns and spot anomalies with 80% accuracy.
    • • Building predictive machine learning models using XGBoost algorithm.
    • •Built a credit scoring model to determine if a consumer will default on loan repayment, put it in production with Flask containerized with docker for real time analytics.

    2014 - 2018

    Bachelor of SCience in Actuarial Science -University of Nairobi

    Actuarial Science is concerned with the application of mathematical modelling, statistical, probabilistic,computational data analysis and financial theories to solve real business problems.

    My Portfoliomy work

    Here are some projects I have worked on using various programming languages.

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    My BlogsMy Blogs

    Food Recipe App Using A Public API

    This is a simple food recipe app that uses the public API to get the food recipes.

    Contact MeMy Blogs

    Contact me here

    Hello World! To the Heights By Hardwork...

    Location

    : Nairobi, Kenya.

    Email

    : bryanbosire@gmail.com

    Education

    : University of Nairobi, Kenya.

    Phone Number

    : +254796851024

    Languages

    : English, Swahili