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BIO

My Background

As an Analytics Engineer with experience translating business problems into solvable analytical problems, I embrace challenges as learning opportunities to develop optimal solutions to business problems using Data Analytics and Machine Learning, and other Quantitative approaches. My skillset includes Python and its libraries such as Numpy, Pandas, Scikit-learn, etc., Tableau, PowerBi, and SQL. My goal is to utilize the Operations Research and Data Analytics to drive efficiency and innovation in start-ups through teamwork and creative thinking, resulting in superior solutions and products.

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My Broad Interests include:

Energy systems and markets,

Data analytics and Artificial Intelligence, and

Sustainability

 

https://www.linkedin.com/in/kamaladekola/

About: About

RESUME

Professional Experience

October 2020 - Present

JUNIOR MACHINE LEARNING ENGINEER

• Worked on improving cross-border child protection for ISS (International Social Service) by dynamically analyzing data and developing a risk prediction model to assist case-workers in prioritizing and understanding casework efficiently.


• Collaborates with data scientists across the world to research and implement AI and ML techniques for social good by helping international organizations such as UNESCO, Save the Children, etc., to improve the efficiency of their operations.

February 2020 - October 2020

DATA ANALYST

• Performed data collection, cleaning, and structuring data and utilized exploratory data analysis, visualizations, and statistical techniques to uncover trends and insights.
• Prepared dashboards and detailed reports for relevant business partners and top-level management.
• Engaged in mapping out claims process flow in preparation for a digital transformation.

December 2017 - Present

CO-FOUNDER / PROGRAM ADMINISTRATOR - NIMECHE DESIGN CHALLENGE

Co-founded and led the fundraising, planning, and organization of the maiden edition of NiMechE’s Design Challenge, raising 150K Naira funds with the event attracting about 15 participants and an audience of over 400 people.

About: CV

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