Ayodele Adebayo

Experience

• 

  NYSC

  Apr 2016 - Mar 2017

  Basic Technology Teacher
• 

  Mayssa

  May 2017 - Feb 2018

  System Support Administrator

  • Operated, and maintained hardware and software for the company's computer systems• Ensured the security and efficiency of the company's IT infrastructure

• 

  Seacon Consultant

  Apr 2018 - Jun 2019

  Data Analyst

  • Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP.• Extracted, interpreted and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.

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  Technology For Development (Tech4Dev)

  Jul 2019 - Dec 2019

  Data Scientist

  • Used predictive modeling to forecast progress toward the SDGs, and to identify interventions that are most likely to be effective in achieving them.• Communicated findings by using visualization to explain complex data to non-experts• Transformedrawdatatoconformtoassumptionsofmachinelearningalgorithm.• Studied new technologies to support machine learning applications

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  ASH NELSON PARTNERS

  Dec 2019 - Mar 2021

  (Core Datalytix)• Developed Machine Learning Models • Sentiment Analysis using different Cloud services NLP (GCP, Microsoft Azure, IBM.). • Cloud DevOps & Operations (AWS), creating and maintaining CI/CD pipelines. • Designed the module for NLP (sentiment Analysis) comparison for different cloud services. • Collaborated with internal stakeholders, identifying, and gathering analytical requirements for customer, product and project needs. • Systems Integration and implementation of Cyber Fraud and Risk Management solution (CFRM)• Evaluated systems performance and calibrations• Verified and validated the plan of project deliverables

  • Data Scientist

    Dec 2019 - Mar 2021

  • Implementation Support Engineer

    Dec 2019 - Mar 2021
• 

  Bell International Ltd

  Mar 2021 - now

  Software Engineer

  • Designed and implemented an end-to-end data pipeline for a real time automated reporting dashboard using python, extracted and transformed data from SQL database and automated the process with Github Actions. Containerized the app with Docker for seamless deployment using azure web apps. The automated dashboard enabled real-time; data driven decision making for stakeholders.• Designed and implemented business process automation. • Orchestrated efficient large-scale software deployments, including testing features and correcting code. • Communicated technical development stages and provided design support to businesses and other stakeholders, encouraging participation for on-time execution. Show less