DESMOND ONAM

Machine Learning Data Engineer Instructor at Omdena

Desmond Onam has a diverse and extensive work experience in the field of data science and machine learning. DESMOND'smost recent role was as a Lead Data Scientist at Nexthikes, where they demonstrated a passion for leveraging data-driven insights to optimize business strategies and drive impactful outcomes. DESMOND excelled in leading diverse teams, spearheading project-based initiatives, and mentoring interns to achieve project goals. Desmond is committed to pushing the boundaries of data science and fostering a culture of innovation.

Prior to their role at Nexthikes, Desmond worked as a Junior Machine Learning Engineer at Omdena. There, they solved complex real-world problems by applying machine learning libraries and algorithms, using statistical modeling techniques, and writing programming codes. DESMOND designed machine learning systems and self-running artificial intelligence solutions, improving data quality and insight reports using data tagger and data wrangler. Desmond also developed machine learning pipelines and trained models with end-to-end Bayesian segmentation.

Desmond also has experience as a Data Science Trainer at Careerera - SNVA EduTech, where they equipped students with solid data ethics knowledge through comprehensive training programs. DESMOND enhanced automated data processing machine performance by analyzing, testing, and debugging lines of code. DESMOND received accolades for developing open-source data science projects that solved real-world problems.

Additionally, Desmond served as a Machine Learning, Data Engineer, and Web3 Consultant at 10 Academy. In this role, they acted as a go-to resource for junior data engineers, assisting in building datasets and designing real-time data pipelines. DESMOND instituted a project-based learning approach among trainees, leading them to ingest data from multiple third-party APIs on real-world projects. Desmond also provided comprehensive training in machine learning, data engineering, and web3 skills for job readiness.

Desmond's early experience includes working as a Research Analyst - Data Engineer at Africa's Voices Foundation. There, they engineered a data pipeline that ingested data from multiple sources using Google Analytics APIs. DESMOND automated ETL processes, reducing time and manual workload. Desmond also designed, developed, and maintained insightful data tables for analysis models, reports, and dashboards.

DESMOND ONAM's education history begins in 2017 when they enrolled in Jomo Kenyatta University of Agriculture and Technology. DESMOND pursued a Bachelor of Science degree in Mathematics and Computer Science, completing their studies in 2021.

In 2021, DESMOND ONAM also attended 10 Academy, where they focused on Machine Learning and Data Engineering. Although no degree information is provided, it can be inferred that they pursued a specialized program or courses in the field.

In terms of additional certifications, DESMOND ONAM obtained several qualifications from various institutions. In December 2020, they completed the "Complete Data Science Course 2020" on Udemy. Throughout 2021, they obtained certifications in "Machine Learning and Data Engineering" from 10 Academy and "Statistics Fundamentals and its Applications" from Udemy.

In 2022, DESMOND ONAM acquired several more certifications, including "Python Core" and "SQL" from Sololearn, "Mathematics for Engineering" from Udemy, and "The Data Science MicroDegree: Data Analysis and Visualization" from Udemy.

By 2023, DESMOND ONAM had added further certifications to their portfolio. These include "Machine Learning using Python" from Start-Tech Academy and "Product Analytics Micro Certification" from Product School.

Overall, DESMOND ONAM has pursued various educational opportunities, combining a degree in Mathematics and Computer Science with numerous certifications in subjects such as Machine Learning, Data Engineering, Statistics, and other technical and programming skills.

Links

Timeline

  • Machine Learning Data Engineer Instructor

    January 1, 2024 - present

  • Junior Machine Learning Engineer

    September, 2022

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