About

About me

GenAI Researcher | AI/ML Engineer | Data Scientist

Izunna Okpala

AI/ML Engineer & MLOps

My research intersects machine learning pipeline development, the application and development of NLP & Generative AI solutions, as well as fuzzy inference systems. I study how automated systems can be used extract meaningful information from data.

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Published work
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Ongoing projects
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Presentations
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Weekly Leisure
My Resume

Resume

My Resume is simplified below

Discover Financial Services

2023-Date

  • Senior Research Scientist: 2024 - Date

  • Data Science Modeler: 2023 - 2024

UC Digital Futures

2021-2023

  • Data Scientist - Research Fellow

School of IT – University of Cincinnati

2020-2021

  • Adjunct Faculty - 2022

  • Research Assistant - 2021

  • Graduate Assistant - 2020 - 2021

Para Systems

2015-2020

  • Data Engineer: 2016 - 2020

  • Solution Architect: 2015 - 2016

National Institute for Nigerian Languages

2016-2020

  • Faculty

  • Researcher

Services

Services

  • ETL and Query Optimization
  • A/B Testing
  • Reccomender Systems
  • Data Visualization
  • Report Dashboard
Negotiable $$$$

Data Analytics

Collects, cleans, preprocesses, visualizes and produces interactive dashboards.

  • Mobile App
  • Desktop App
  • API Driven App
  • Testing
Negotiable $/₦

App Development

Software development, Database design and API integration - transition from many manual platforms to digital solutions.

  • Natural Language Processing
  • Large language Modeling
  • ML Pipeline Development
  • AI Integration
  • Retrieval Augmented Generation
Negotiable $$$$

AI/ML MLOPs

Scalable development of cutting edge ML solutions to drive organizational and product growth.

  • Design
  • Development
  • User inerface
  • Managment
  • Marketing
Negotiable $/₦

Web Design

Professional web design and development services.

Ready to order your project ?

my skills

Skills

Researcher

Educational/Industry Research
95%
NLP (Gensim, CoreNLP, spaCy, PyNLP, GenAI)
93%
A/B Testing
98%
Unit testing (Pytest, PyUnit)
92%
Kubernetes - AWS (S3, EKS, EC2, CloudFront)
95%
CICD (GitHub Actions, Jenkins)
94%
IaC (Terraform)
92%
Tree-Based ML Algorithms
94%
Logistic Regression
95%
Bayesian Classifiication
97%
Artificial Neural Network
95%
Support Vector Machine
98%
Snowflake
94%
MySQL
95%
Oracle
83%
Oracle Virtualbox
91%
MongoDB
85%
Neo4J
86%
Tableau
96%
PowerBI
95%

Languages

Python

Java

R

PhP, JSP, ASP

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