Omboga Omboga

Data Annotator with over 5 years of experience in accurately labeling and annotating large data sets for machine learning purposes. Expertise in Snorkel and Labelbox with a track record of efficient collaboration with data scientists and engineering teams. Demonstrated ability to provide high-quality annotations and offer valuable feedback, resulting in enhanced model training efficiency.

Senior Data Annotator at SAMASOURCE NBO Branch (2021-01 – 2024-07)

Senior Data Annotator responsible for annotating and labeling large datasets with high accuracy for machine learning model training.

• Annotated and labeled over 100,000 data points with 99% accuracy, following specific guidelines and quality standards
• Collaborated seamlessly with data scientists, training 5 machine learning models that achieved 97% precision and recall metrics
• Provided valuable feedback on annotation guidelines, leading to a 20% faster annotation process and improved model performance
• Implemented the latest annotation techniques using Snorkel, reducing data labeling time by 30%
• Maintained meticulous documentation, resulting in a 50% reduction in annotation errors and improved project tracking

Data Annotator (Remotely and part time) at CLOUD FACTORY (2018-06 – 2019-12)

Data Annotator responsible for labeling and annotating datasets for machine learning model development.

• Successfully labeled and annotated 50,000 data items ensuring high-quality output
• Contributed to the team effort in providing feedback towards improving annotation tools resulting in a 15% faster annotation process
• Assisted in the training of 3 machine learning models achieving 95% precision
• Ensured consistent communication with data scientists, enhancing the iterative annotation process
• Engaged in continuous professional development, staying current with annotation best practices and software updates

Reviewer in Data annotation (Remotely and part time) at REMOTASK (2017-06 – 2022-12)

Data annotation reviewer ensuring quality standards and accuracy of annotated datasets.

• Worked as a reviewer going through more than 100,000 annotated data items ensuring they meet the required standards by the client
• Corrected any inaccuracies and annotated any items omitted at the initial stages of annotation
• Had time to time engagements with both people below and above the chain to make sure everything worked smoothly
• Gave appropriate feedback on how to go about specific situation as per the requirements of the client

Architectural assistant at DESIGN 40 Architects (2013-01 – 2019-12)

Architectural assistant supporting architects in creating technical drawings and project documentation.

• Assisted the architect in creating working drawings (plans, elevations, 3D models, schematic drawings, electrical plans, and wiring diagrams) using CAD software
• Prepared project documentation
• Conducted site visits for measurements
• Researched building codes
• Assisted with client communication and project management from concept to construction

Dip Technology in Architecture – TUK University (2012)

HND/Degree in Data science – JKUAT University (2017)