JUDITH ONONOBOR
Location: Port Harcourt, Nigeria
Phone: -
Email:-PORTFOLIO
SUMMARY:
Google certified junior data analyst with over 2 years of experience and strong
understanding of Python, R programing and database manipulation with a track
record in interpreting and analyzing given data to provide guided decisions.
Bringing to the table actionable solutions and business intelligence needed to guide
decisions. Passionately seeking a workspace to leverage data analytical skills to
improve corporate performance as a data analyst.
EDUCATION:
Imo State University, Owerri
Bachelor of Science in Economics
2019, Onsite
EXPERIENCE:
HELCOS Survey Services
May 2022- March 2023, Hybrid
● Maintained files and records
● Conducted research to improve better decisions
● Communicating with clients and scheduling appointments
● Scanning and mailing finished documents or works of clients, as well as
taking notes.
● Prepared reports, presentations, and briefs
National Youth Service Corps (NYSC)
May 2021-April 2022, Onsite
● Teaching (Subjects: Financial Accounting and Computer Science).
● Creating Awareness about the purpose of the SDGs as part of Community
Development Service.
CERTIFICATIONS AND ACHIEVEMENT:
Google / Google Data Analytics Certificate
August 2022 - October 2022, Online
IBM Skills Network / IBM Applied AI Certificate
July 2022 - July2022, Online
Zero to Mastery Academy / Complete Machine Learning and Data Science
Bootcamp
February 2021 - February 2022, Online
SKILLS:
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Strong analytical skills
Pattern recognition
Relational databases and SQL
Strong data visualization skills
Proficiency with spreadsheets, SQL, R, and Tableau
PROJECTS:
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Heart Disease Detection:
Objective was to determine a patient the status of a patient’s heart condition
Problem: Classification. (Which required the use of
Random Forest Classifier as a model Tools: Pandas,
NumPy, Scikit-Learn, Seaborn, Matplotlib.
•
Bulldozer Price Prediction:
Objective was to predicted price of bulldozers in certain years
Problems: Regression problem
Tools: Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib
•
Dog Vision:
Objective was to detect/identify the breed of dog using given image
Problem: Multi-class classification problem
Tools: Pandas, TensorFlow, TensorFlow Hub, Scikit-learn, Matplotlib,
Google Collab.
•
How Bike Share Navigates Speedy Success:
Objective was to compare how the usage of bikes differ between Members
and Casual users and as well answer how and why to market membership to
current casual riders.
Tools: R.
•
How a Wellness Technology Company can Play it Smart:
Objective was to analyseFitBit fitness tracker data to gain insights into how
consumers are using the FitBit app and discover trends for Bellabeat
marketing strategy.
Tools: R.
•
Building AI Powered Chatbots :
Objective was to plan, implement, test, and deploy chatbots that delight
users, rather than frustrate them.
Tools: IBM Watson.
•
Building AI Applications with Watson APIs:
Objective was to write an application that leverages multiple Watson AI
services (Discovery, Speech to Text, Assistant, and Text to Speech).
