Chinedu Ezeofor

Experience

• 

  Omdena

  Oct 2020 - Jan 2021

  Data Scientist

  - Getting the lists of the top Nigerian regions with high electricity demand.- Exploratory data analysis.- Data cleaning and feature engineering.

• 

  ParallelScore

  Jan 2021 - Aug 2021

  Machine Learning Engineer

  - Collaborated with a team of AI engineers to develop, test and deploy analytical software.- Built and deployed APIs. - Researched, designed, and implemented machine learning algorithms.

• 

  Indicina

  Sept 2021 - now

  - Build credit risk and machine learning models for enterprise clients.- Maintainer of Decide, a SaaS platform for bank statement analysis, enhancing performance and scalability.- Prepare and process large volumes of structured and semi-structured data for use in machine-learning models- Continuously monitor the performance of deployed models, track their accuracy, and retrain them as needed.Tools: Python, SQL, GoLang, CICD, FastAPI/Flask, AWS, MLFlow, k8s, Docker - Data preprocessing and analysis to identify trends and patterns.- Build custom machine learning models and credit risk models for enterprises.- Improve the model's predictive abilities by engineering more predictive variables and manipulating the data.

  • Machine Learning Engineer

    Mar 2022 - now

  • Data Scientist

    Sept 2021 - Feb 2022
• 

  Stutern

  Jul 2022 - Jun 2023

  Data Science Lead Mentor

  - Developed and delivered an engaging data science course, featuring interactive lectures and practical assignments, significantly increasing student enrollment.- Mentored over 40 students on data science projects, resulting in numerous successful research outcomes and a 90% student graduation rate.- Host live hands-on office hour sessions to educate the students in their respective tracks.