
PRAISE CHIKUNIE
Data Scientist
& Designer
DATA SCIENCE
AND DESIGN EXPERT

01 EXPERTISE
AREAS OF SPECIALIZATION
DATA SCIENCE
95%
MACHINE LEARNING
94%
POWER BI
95%
VISUALIZATION
97%
PYTHON
96%
R
95%
SQL
93%
TABLEAU
90%
CANVA
89%
FIGMA
90%
CP
Praise Chikunie is a data scientist and designer who offers services to companies, brands, NGOs, and government bodies. I specialize in providing high-quality work for various projects and jobs tailored to your specific needs. With a commitment to excellence and a focus on client satisfaction, I strive to deliver results that exceed expectations.

02 PORTFOLIO
03 EXPERIENCE
2024
GOMYCODE
Data Science Instructor
Taught data science, including Python programming, machine learning, and data analysis. Mentored students through hands-on projects and real-world applications, ensuring a strong foundation in data science.
2022-2023
APTECH COMPUTER EDUCATION
Data Science Instructor
Delivered comprehensive training in data science, covering data wrangling, visualization, and predictive modeling. Guided students in practical applications of data science tools and libraries, preparing them for industry roles.
2023
APTECH COMPUTER EDUCATION
Accountant
Managed financial records, budgeting, and expense tracking. Ensured compliance with financial regulations and optimized resource allocation for efficient operations
2023
ARKITECHTON
Executive Assistant
Provided administrative and operational support, managing schedules, coordinating meetings, and overseeing project logistics. Assisted in strategic planning and communication to enhance organizational efficiency.
2023 - 2025
CYFIBOT
Lead Designer
Led the creative design team, developing branding materials and designs. Designed promotional content, including flyers and videos, to enhance brand visibility. Ensured a steady flow of creative ideas and managed the design team to maintain consistency and innovation in all visual outputs.
2020-2021
Edo State Primary Health Care Agency
Data Entry Analyst
Collected, processed, and managed health-related data, ensuring accuracy and accessibility for decision-making.
Supported public health initiatives through detailed data analysis and reporting.

















