OTIENO C. UPENDO

Computer Science Student | Python • Data Engineering • ML • Embedded Systems

Email: ucotieno@gmail.com

Mobile: +254 798 380 239

Location: Nairobi, Kenya

GitHub: https://github.com/ucotieno

LinkedIn: https://linkedin.com/in/ucotieno

Portfolio: https://portfolio-4w4q.onrender.com/portfolio.html

SUMMARY

Computer Science student focused on data, machine learning, computer vision, and embedded systems. Interested in building intelligent systems that connect software, data, and physical-world systems to solve practical problems. Hands-on experience spans Python, machine learning, data processing, and API development, with a growing focus on applied AI, remote sensing, and system integration.

TECHNICAL SKILLS

  • Programming: Python, SQL, JavaScript
  • Data & Machine Learning: Pandas, Machine Learning, Data Processing, ETL
  • Statistics & ML: Probability & Statistics, PyTorch, Scikit-learn
  • Databases: PostgreSQL, SQLite
  • Backend & Infrastructure: REST APIs, Docker
  • Version Control: Git, GitHub
  • Areas of Focus: Computer Vision, Remote Sensing, Sensor Data, IoT

EXPERIENCE

Data Science & Web Development Instructor — Industrial Attachment | GOMYCODE Kenya
Jun 2026 – Sep 2026
  • Delivered project-based instruction and technical support across Data Science and Web Development programs, contributing to the successful graduation of 6 Data Science and 6 Web Development students during the internship period.
  • Applied Python, SQL, Pandas, and Scikit-learn throughout Data Science instruction, working through programming exercises, data analysis, machine learning challenges, and practical projects.
  • Reviewed student code and project implementations, identified technical issues, and guided learners through debugging and improving their solutions.
  • Provided hands-on technical mentorship across individual challenges and projects, helping learners develop independent problem-solving and development skills.
  • Prepared and delivered practical exercises and learning materials covering programming, data science, and web development concepts.

RESEARCH & DEVELOPMENT

RESOLVE — Farm Monitoring & Automation System
Independent Research & Development | 2026 – Present
  • Conducting literature review and system planning for a farm monitoring and automation system integrating farm, sensor, and remote-sensing data.
  • Defining system objectives, data requirements, decision-support workflows, and potential automation capabilities for practical farm management.
  • Investigating approaches for combining heterogeneous agricultural data to monitor farm conditions, identify potential problems, support decisions, and enable automated actions.

EDUCATION

University of Nairobi
BSc. Computer Science (Expected Graduation: 2027)

LANGUAGES