echukwunta
About Me
Education
University of Nigeria, Nsukka
This is a five year course in Mechanical Engineering, capping with up a project in double tube heat exchanger (heat and mass transfer). This is my first real experience with statistical data analysis.
OneCampus Academy
Once I started working on different projects - I knew I wanted to dive deeper and deeper to become a full - stack data scientist (ML). My projects includes: - employee churn - food prices forecast with box Jenkin's models - Movie Recommendation System - Crime analysis.
Udacity
Work & Experience
Data Processing Officer
National Power Training Institute of Nigeria (NAPTIN)
Generated data from the database, processed and visualize data for insightful decision making. Provided first-level contact and problem resolution for all users with hardware, software, applications, and internet connectivity issues. Track and document every steps taken in resolving any computer related problems.
Regional IT Officer / Data Monitor
Center for International Health Education and Biosecurity (CIHEB)
Supported the survey by providing reliable and scalable IT infrastructure in South East, Nigeria, by implementing IT initiatives effectively in the field sites. Facilitated the training of field teams in data collection procedure, device power management, data entry dynamics, peer to peer and data synchronization.
Remote Software Developer Intern
PowerUp
Refactored, optimized and documented source codes, and also drawn flowcharts and UML for clearer code. Developed complex stored procedure using T-SQL to create stored proc, reports, views and triggers
National Data Repository Support
Center for International Health Education and Biosecurity (CIHEB)
Provided technical expertise conducting deep dives to identify issues with reporting and to providing feedback to stakeholders on NDR. Providing technical support and analysis in optimizing the NDR platform and workflow.
Remote Machine Learning Associate
Prognozai - Data Infrastructure and Analytics
Designing ML systems, and self-running AI software to automate predictive models. Also developing ML algorithms to analyse huge volumes of historical data to make predictions. Using Jenkins (and CircleCI) integration to automate ML systems and AI software deployment.
