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Felix Kiprotich

Data Scientist

Bomet, Kenya
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I am a passionate software engineer with a focus on AI, data science, and machine learning. I enjoy transforming complex data into actionable insights and deploying scalable machine learning solutions. With a strong background in web development and experience across the entire development lifecycle, I’m driven by the challenge of solving real-world problems using AI technologies. My goal is to bridge the gap between data-driven ideas and impactful solutions that can be deployed at scale, enhancing efficiency and innovation.

Careers

Junior Machine Learning Engineer

Omdena-Antananarivo Local Chapter

Internship10/2023 - 01/2024
  1. Engaged with the Omdena-Antananarivo Local Chapter in a collaborative effort to combat fake job postings using Natural Language Processing (NLP) techniques.
  2. Conducted web scraping on platforms like Glassdoor and Indeed to gather a comprehensive dataset.
  3. Employed collaborative platforms such as GitHub and Trello to streamline project management and facilitate seamless communication among team members throughout the duration of the initiative.
Data Scientist Intern

Bharat Interns

Internship09/2023 - 10/2023
  1. Built a customer attrition random forest model that improved monthly retention by 12 basis points for clients likely to opt-out
  2. Deployed the aforementioned projects on Hugging Face, enabling seamless access to the trained models
  3. Implemented customer attrition, reducing F1 Score by 10%
  4. Employed advanced machine learning techniques for Wine Quality Prediction, leveraging algorithms such as Random Forest, Gradient Boosting, and Neural Networks
Back End Intern Developer

Podii Company Limited

Internship04/2023 - 07/2023
  1. Acquired working knowledge of Elixir, a functional, concurrent programming language known for its scalability and fault tolerance. Applied Elixir principles to explore and build performance-oriented applications, contributing to Podii’s tech stack expansion.
  2. Refactored and optimized the Ikuku system’s codebase to improve performance, maintainability, and scalability.
  3. Enhanced code readability and reduced technical debt by applying best practices in software engineering.
  4. • Developed and integrated a robust notification system into the Ikuku platform, enabling real-time updates for users.
  5. Designed the system to support various notification types (email, SMS, push) and ensured seamless communication
  6. through efficient API integrations.
  7. • Gained proficiency in Git for version control and collaboration, including branching, merging, and resolving conflicts.
  8. Utilized Git workflows to contribute effectively within a team environment and manage code versions for large-scale
  9. projects.

Education

Kabarak University

Bachelor of Science in Computer Science

08/2020 - 06/2024Bachelor's DegreeClass of 2024
Skills
PythonGithubWeb designProblem-solvingPython developer Data ScientistMachine learningUnsupervised LearningSupervised Learning
ExperienceMid-level3-5 years
Hourly rate$30/hr
Open to
remotehybridonsite

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