About

Focused and analytical data and technology professional with a strong foundation in machine learning, AI-driven analytics, and enterprise systems. Through my experience supporting large-scale modernization projects, building intelligent dashboards, and developing end-to-end data solutions, I’ve developed a passion for transforming complex data into clear, actionable insights. I’m driven by solving real-world problems, improving system reliability, and designing intelligent tools that help organizations make smarter, faster decisions.

I’m currently exploring opportunities in machine learning, data analytics, workflow optimization, and building data-driven tools that make systems run better.

Interests

Analytics

Machine Learning

Artificial Intelligence

Business Systems Analysis

Process Optimization

Visualization

Product and UX Research

Product Management

Education

PROFESSIONAL CERTIFICATION

Experience

Rensselaer Polytechnic Institute - Troy, NY

August 2023 - Present

GRADUATE TEACHING ASSISTANT

  • Mentored more than 150 students across the fall and spring semesters, providing guidance on web systems concepts, problem solving, and clean, structured coding practices.
  • Delivered lecture sessions, facilitated code reviews, assessed assignments, and provided targeted feedback that strengthened learning outcomes and technical understanding.
  • Improved students’ overall project performance, contributing to a 33% increase in successful project completion.
  • Clarified technical requirements and enhanced documentation standards, increasing the accuracy and completeness of student submissions by 29%.

NIRSAL Plc

June 2017 - July 2023

PROJECT ANALYST

  • Designed and automated Power BI dashboards monitoring ₦50M+ agricultural guarantees, significantly improving executive oversight and enabling 91% more timely insights.
  • Identified trends, and conducted variance analysis to support early intervention on non- performing loans; contributing to an 83% reduction in defaults.
  • Consolidated multi-source data (loan systems, financial records, case management tools) into unified reporting packages, ensuring data accuracy and consistent metric definitions.
  • Created systems documentation to standardize project reporting and improve alignment with PMROO requirements, reducing rework by 31%.
  • Collaborated with cross-functional teams (Finance, Legal, Field Ops) to ensure consistency in data capture and improve analytics reliability by 21%.

SKILLS

Programming Languages

  • Python
  • R

Web Development

  • HTML
  • CSS
  • React
  • Javascript
  • JSON
  • XML

Data Science & Machine Learning

  • Pandas
  • Numpy
  • Scikit-learn
  • TensorFlow
  • PyTorch
  • OpenCV
  • NLTK

Database

  • MySQL
  • MongoDB
  • PostgreSQL
  • Oracle DB

Data Visualization

  • Power BI
  • Tableau
  • Looker Studio

Cloud Deployment

  • Oracle Cloud
  • AWS
  • Github

Tools

  • Visual Studio Code
  • Jupyter Notebook
  • RStudio
  • Git
  • SQL Developer
  • Linux

Project & Product Management

  • Jira
  • Confluence
  • Trello
  • Scrum/Agile

Design, Collaboration, and Productivity

  • Visio
  • Figma
  • Lucidchart
  • Draw.io
  • slack
  • Sharepoint
  • Canva
  • Notion

Projects

  • All
  • Research Projects
  • Publications

Early Detection of Heart Disease Using ML

Impact of Natural Disasters on Solar Energy Farms

Fantasy Swimming Web Application


Scrabble Player Rating — ML Ranking System

United Airlines Aircraft-Loading Safety & Verification System

Analytics on the Influence of Corruption on Poverty in Developing African Countries

Usability Evaluation of Wish.com E-Commerce Navigation

AI-aided Feasibility Study on IEEE Transactions on Medical Imaging

AI-aided Feasibility Study on IEEE Transactions on Medical Imaging

Time-Series Forecasting of Urban Air Pollutant Levels

Time-Series Forecasting of Urban Air Pollutant Levels Using Deep Learning Models

Static Malware Classification: A Comparative Analysis of Machine Learning Techniques on Byte and Opcode Features

Static Malware Classification: A Comparative Analysis of Machine Learning Techniques on Byte and Opcode Features

Integrating Artificial Intelligence with Cyber Threat Intelligence to Predict Financial Exposure in Data-Driven Enterprises

Integrating Artificial Intelligence with Cyber Threat Intelligence to Predict Financial Exposure in Data-Driven Enterprises

Contact

Let’s Connect

Email

rianwachukwu@gmail.com

nwacho@rpi.edu