Joined Zindi ~3 years ago
Ibadan, Nigeria
Speaks: English, Yoruba

847 points

Current rank #288
, best rank #38


Odeajo Israel is a certified Google Web/Mobile Developer, Google IT support Specialist, Data Scientist, an excellent project lead, community builder with 4 years of experience in the data space.

He has served and still serving as a Facilitator and Mentor across different Tech communities in Nigeria and is presently an ambassador to many tech communities.

Facilitator at AI Saturday Ibadan, Andela Learning Center, Oyo State (Mobile-Web Track), Co-organizer, Tensorflow Ibadan, Lead Facilitator (Hub 67 Academy), Mentor with ALC with Microsoft Africa Skilllab,

He's is a data scientist at Robotics and Artificial Intelligence of Nigeria.

He's one of the 1% successful developers at turing, a world-class developer platform.

He is a Zindi Africa Ambassador, World Change Agent (YMCA), Africa Alliance of YMCAs S2C Ambassador, Global Youth Ambassador, World Literacy Ambassador

He is a member of Data Science Nigeria, Black in AI, and many technology ecosystems.

Main tools &

C#, Git, PHP, Java, Weka, Bigml, Html5, Mysql, Pandas, Paypal, Python, Trello, Jupyter, Mongodb, Postman, Python3, Pytorch, Tableau, Ibm spss, Cassandra, Aws lambda, Matplotlib, Postgresql, Tensorflow, Android sdk, Apache spark, Scikit-learn, Amazon sagemaker, Google analytics, Machine learning, Microsoft office, Database management, Microsoft sql server, Google cloud ai platform

Work Experience

Jan 2020–present
Data scientist/ faculty robotics and artificial intelligence of nigeria
• Constructed operational reporting in Tableau to improve scheduling contractors, saving $90,000 in the annual budget • Implemented a long-term pricing experiment that improved customer lifetime value by 23% • Ran, submitted, and reported on monthly client enrollments, services opted in for, and the employees assigned to clients
Jun 2016–Jan 2018
Data analyst / project lead foodbot, nigeria
• Organized quarterly projection data gathered by senior analysts in an orderly way for executive management. • Reported bi-monthly data analysis findings to upper management to use in making organizational decisions. • Participated in collecting, organizing, and interpreting data along with fellow colleagues. • Built a price sensitivity model to offer lower pricing for room inventory unlikely to be booked, resulting in a decrease in room vacancy of 17% • Performed sentiment analysis to surface reviews most likely to be relevant to a given user for a given room to increase booking rate by 6% • Worked alongside product managers to construct queries to identify customers who abandoned their checkout, leading to an email sequence that improved conversion rate by 12% • Streamlined feature selection for the model to predict the likelihood of a customer to re-book on Priceline, which saved about 21 hours of manual work each month