Onuba

CHIBUIKE ONUBA | Data Analyst
Lagos, Nigeria
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація») chibuike-onuba ChibuikeOnuba My_Portfolio
Education
University of Nigeria Nsukka Enugu, Nigeria
Bachelor of Science in Computer Science April 2024
CGPA: 4.24/5.0
Coursework: ML/AI, Data Structures and Algorithms, Database Management & Design, Project management, etc.

Experience
Data Analyst
TransAfam Power Ltd May 2023 – October 2023
• Increased procurement efficiency by 20% via real-time data manipulation using Advanced Excel and Power Query in the
procurement tracker.
• Revamped supplier evaluation process by identifying data trends and KPIs leading to a 20% increase in on-time deliveries
and a 15% reduction in procurement costs.
• Prepared a mid-year analysis report for the department using data visualizations tools such as Power Bi, Excel and Power
Point
Data Scientist
OmdenaAI January 2023 – May 2023
• Collaborated with a diverse team of over 50 data scientists to successfully create an autism prediction model.
• Participated in the development of an innovative Autism Prediction model, intended to aid more than 20 hospitals across
India in promptly identifying early signs of autism in children.
• Demonstrated exceptional problem-solving skill, leading to a 15% improvement in the recall rate, significantly improving
the precision of Autism case detection.

Projects
ReviewScope: Customer Review Sentiment Analysis App | Python, NLP, Streamlit, NLTK…
▪ ReviewScope is an innovative project leveraging Natural Language Processing (NLP) to analyze the sentiment embedded
within customer reviews of a product. By employing advanced NLP techniques. ReviewScope extracts valuable insights
from customer feedback, shedding light on the overall sentiment towards the product.
▪ The project features an interactive dashboard that provides users with a comprehensive overview of the sentiment expressed
in the collected customer reviews.
▪ Through intuitive visualization and user-friendly interfaces, it offers actionable insights, allowing businesses to gauge
customer satisfaction levels effectively
Autism Prediction among Toddlers | Python, Streamlit, Machine Learning, ScikitLearn…
▪ Implemented advanced machine learning algorithms, including Random Forest and Gradient Boosting, to analyze behavioral
data, achieving a precision of 82% and recall of 80% in identifying potential ASD cases
▪ Developed and implemented a model to swiftly identify early signs of autism in children, proposed to benefit over 20
hospitals in India and facilitate timely interventions to improve outcomes significantly.
▪ Publicized research findings in a peer-reviewed journal, contributing to the scientific community's understanding of early
ASD detection methodologies and garnering 600+ impressions within the first week of publication
Technical Skills
▪ Languages: Python, C++, R, SQL, HTML/CSS, Java
▪ Developer Tools: Ms Excel, Tableau, Power Query VS Code, Jupyter Notebook, Power BI, Streamlit, Google Sheets
▪ Technologies/Frameorks: Sklearn, Pandas, Numpy, Seaborn, TensorFlow, NLP, CV, Pytorch, Git, GitHub

Volunteer Experience Certifications
▪ Tutored over 200 pupils from 5 schools on basic ▪ Aspire leadership Certification by HBS
programming knowledge and applications using ▪ IBM Certified Data Scientist
Scratch Programming software under Meenah Tech
Solutions