UKEME ESSIEN
Data Analyst | Data Scientist | Machine Learning Enthusiast
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-LinkedIn linkedin.com/in/ukeme-essien-
Abuja, Nigeria
SUMMARY
Data aficionado with a robust background in statistics and a natural eye for detail. I specialize in transforming
complex datasets into actionable insights that drive informed, strategic decision-making. My analytical journey
is fueled by a passion for uncovering hidden patterns and telling compelling data stories that impact business
decisions.
With proficiency in tools such as Python, R, SQL, and Tableau, I excel in developing sophisticated models and
predictive algorithms. My experience spans the entire lifecycle of data projects—from meticulous data cleaning
and exploration to advanced predictive modeling and interactive dashboard creation. I take pride in my
commitment to data integrity and clarity, ensuring that every analysis is rigorous and accessible.
SKILLS
Sheets, R, SPSS, SQL, Python, Power BI, Tableau, Matplotlib, Descriptive Statistics, Inferential Statistics,
Hypothesis testing, Deep learning, Apache Spark.
EXPERIENCE
12/2024 – Present
Abuja, FCT, NG
Data Scientist Intern
National Center for Artificial Intelligence and Research
• Designing and executing research experiments to test novel AI algorithms
• Evaluating state-of-the-art techniques and contributing to developing new
methodologies tailored to specific research challenges.
• Conducting thorough exploratory data analyses to uncover patterns and inform
model selection.
• Collaborating closely with domain experts, software engineers, and stakeholders
to ensure research insights align with practical applications.
• Establishing best practices for model deployment, monitoring, and performance
evaluation to drive sustainable, long-term impact.
09/2024 – 10/2024
Kangere, Bauchi, NG
Data Analyst Volunteer
National Youth Service Corps
• Analyzed over 10,000 questionnaires to identify key trends and patterns.
• Employed statistical methods to clean and prepare data, enhancing the quality of
information available to community stakeholders.
• Leveraged advanced methodologies such as cluster analysis and regression
modeling to segment survey respondents by demographic and engagement
levels, which provided tailored insights that informed targeted community
initiatives.
• Designed and executed a comprehensive data validation and cleansing process
that enhanced data consistency and accuracy.
• Created compelling visualizations using Tableau that increased the
comprehension of complex datasets for non-technical audiences.
07/2023 – 07/2024
Remote
Data Analyst
Freelance
• Performed comprehensive data analysis using advanced SQL queries in MySQL
and Python to extract, manipulate, and interpret data from a wide range of client
projects.
• Collaborated on designing and implementing ETL pipelines using Python and
SQL, which streamlined data cleaning and transformation.
• Improved data processing efficiency by 20% and minimized manual intervention
through automated workflows.
• Built dynamic, interactive dashboards using Tableau and Python visualization
libraries, presenting complex data intuitively, enabling clients to quickly explore
trends, make comparisons, and identify key performance indicators (KPIs).
• Conducted exploratory data analyses and applied statistical techniques to
uncover actionable insights.
• Developed predictive models and performed A/B testing to support strategic
decision-making for clients.
10/2022 – 04/2023
Las Vegas, NV, USA
Data Analyst Intern - Remote
TELUS Digital
• Prepared and maintained spreadsheets, reports, and documents.
• Verified and corrected data discrepancies, ensuring data integrity.
• Utilized SQL and Python to extract, clean, and validate data from various sources,
thereby reducing data inconsistencies and manual troubleshooting.
• Partnered with cross-functional teams to identify critical KPIs and tailored
dashboard designs that met diverse stakeholder needs.
• Presented clear, actionable insights derived from data, empowering non-technical
team members to understand and leverage data in strategic discussions.
• Designed and maintained interactive dashboards in Tableau that visualized
complex datasets in an intuitive, user-friendly manner.
EDUCATION
10/2019 – 08/2024
Ilorin, Kwara, NG
Bachelor’s Degree in Statistics
University of Ilorin
While studying statistics at university, I developed a strong foundation in both the
theoretical and practical aspects of data analysis.
• I delved into probability theory, regression analysis, time series analysis, statistical
computing, and data visualization. This comprehensive curriculum equipped me
with the tools to handle complex datasets and perform nuanced analyses.
• My thesis focused on predictive urban air quality modeling for public health policy.
I integrated public air and environmental data, applied regression and time series
to predict pollution trends, and provided actionable recommendations.
CERTIFICATIONS
Google Data Analytics Professional Certificate (2022) Verify here
Completed an industry-recognized certification in data analysis, focusing on practical applications of
methodologies and tools. Gained expertise in data collection, cleaning, statistical analysis, programming, and
data visualization. Also developed foundational machine learning knowledge and engaged in hands-on projects
to apply these skills to real-world scenarios. This certification showcased proficiency in ethical, data-driven
problem-solving across various industries.
KEY ACHIEVEMENTS
Improved business Processes
Analyzed business data to identify inefficiencies,
leading to a 15% increase in operational efficiency.
Data Cleaning and Preparation
Streamlined data preparation processes,
reducing manual effort by 20%
Customer Behavior Analysis
Conducted a market segmentation analysis that
enhanced customer retention by 25%
PASSION
Open-Source Contribution
Passionate about contributing to Open-source
projects that make a difference in the community.
Machine Learning Innovations
Actively Interested in creating and exploring
new machine-learning models.
