DATA ANALYST
EZEYINWA PRISCA
--| LinkedIn
Lagos, Nigeria
OBJECTIVE
With more than two years of professional experience, I have honed my skills in detail-oriented Data Analysis and Data Science.
My expertise as a data analyst extends across diverse sectors, including buy now pay later, customer service, and experiential
marketing. I bring a cross-functional understanding of business processes in various industries such as healthcare, FMCG,
transportation, and human relations. My track record showcases proven proficiency in data analytics and reporting, adept data
visualization, and practical application of machine learning techniques.
EDUCATION
HIGHER NATIONAL DIPLOMA | Federal Polytechnic Ilaro, Ogun State
2012 – 2014
Banking and Finance
NATIONAL DIPLOMA| Federal Polytechnic Ilaro, Ogun State
Banking and Finance
2008 – 2010
SKILLS
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Programming: Python (pandas, NumPy, Flask, Scikit-learn), SQL (MySQL, Postgres, MongoDB), No SQL
•
Data Visualization: Excel, Google Sheet, Canvas, Power BI, Tableau, Matplotlib, Seaborn, Power Point
•
Machine Learning: OneHotEncoding, Logistic and Liner Regression, Decision Tree, ARIMA, Random Forest
- Data modelling
- Report writing/presentation skills
- Proficient in EDA and ETL processes
EXPERIENCE
Data Scientist instructor(volunteer) |Africa Agility
June 2023
• Taught the basic of Python (python syntax, variables, comment, Data type)
• Taught Data Visualizations using python libraries (ydata_profiling, matplotlib, seaborn)
• Created course contents for lectures
Data Scientist and Quality Assurance Analyst (intern) | PAYFI
• Collection and cleaning of data from Mono.
• Building predictive models
• Analyzing trends and patterns and gaining insight from data.
• Creating Visualization of data using Power BI.
• Develop, implement, and maintain databases
• Plan, execute, and oversee product inspection
• Testing for quality and conformance to specifications and deliverables
• Communicating with other teams to solve problems
• Following up with the appropriate channels when defects are found
Data Science (Intern) | HAMOYE AI LABS
• Worked on machine learning project using python
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
April 2022 - Oct 2022
Aug 2021 - Dec 2021
CERTIFICATIONS/TRANING
Data Analytics Virtual Learning program
Took part in an automated virtual program where I acquired knowledge and
Implemented various aspects of Data Analytics under the guidance of multiple mentors.
• Learned how to identify and defined a business problem.
• Learned various data cleaning techniques utilizing excel/google sheets.
• Generated Pivot Tables to reveal insights within a dataset.
• Learned fundamental skills in Tableau and crafted Data visualization.
Data Analyst SQL Virtual Learning program II
Engaged in an automated virtual program where I acquired skills in SQL and
Tableau for Data Analytics through guidance from various mentors in the Data Analytics field.
• Implemented procedures for root cause analysis.
• Leverage SQL and Tableau to extract insights and create visualizations from datasets.
• Generated findings and recommendation to solve a business problem.
• Implemented SQLite as the Database for User Management System (USM).
The World Quant University. (The Applied Data Science Lab)
Code First Girls. (Data & SQL)
Code First Girls. (Bug Fixing)
McKinsey & Company. (McKinsey Forward Program)
Women in Tech Nigeria. (Data Analytics)
Code First Girls. (Python and Apps)
Scrum Alliance CSM. (Certified ScrumMaster)
Africa Agility Foundation, Girls in Tech. (Machine Learning/Data Science)
July 2021
November 2021
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PROJECTS
• GitHub
• Insurance Analysis using DAX
• Synth-Pop CDs Inventory
• Hospital Management Database System
• Karachi House Pricing
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