Emmanuel Kalada-Jamaica
@emmanuelkalada-jamai
Data analyst skilled in SQL, Python, Power BI, and translating data into actionable business insights.
What I'm looking for
I am a data analyst experienced in SQL, Python, Excel, and Power BI who turns complex datasets into clear, actionable insights that support executive decision-making.
I have built dashboards, defined KPIs, and delivered reports that drive strategy, including a Power BI Zomato dashboard and customer-segmentation BI using complex SQL queries.
My hands-on experience includes internships and teaching: I developed a sentiment-tracking system for a rebrand, built a fraud-detection model achieving 95% precision, and instructed an Excel Data Analytics bootcamp for 28 learners.
I hold a B.Eng. in Electrical & Electronics Engineering and certifications including Data Analyst Associate (DataCamp) and PwC Switzerland BI Analyst virtual experience, and I seek roles where I can apply analytics, data storytelling, and model-driven insights to solve business problems.
Experience
Work history, roles, and key accomplishments
Data Analyst
Independent Projects
Jan 2025 - Present (1 year 1 month)
Developed Power BI dashboards, SQL-based BI frameworks, and regression sales-prediction models (R² 0.91) to generate actionable insights for customer segmentation, CLV estimation, and marketing optimization.
Data Analysis Instructor
Excel Data Analytics Bootcamp
Nov 2025 - Dec 2025 (1 month)
Designed and delivered a hands-on Excel Data Analytics bootcamp covering data cleaning, PivotTables, dashboards, and insight-driven reporting, training 28 learners in end-to-end analytical workflows.
Data Analyst Intern
Tranzit Mobility
Jul 2025 - Oct 2025 (3 months)
Implemented a sentiment tracking system for a company rebrand and conducted market research across Nigeria and other countries, producing insights that informed pricing models and growth strategies.
Data Science Intern
CodSoft
Dec 2024 - Jan 2025 (1 month)
Performed descriptive and predictive analytics on large datasets and built a fraud detection system comparing Random Forest and Logistic Regression, achieving 95% precision on ~250,000 transactions.
Education
Degrees, certifications, and relevant coursework
Landmark University
Bachelor of Engineering, Electrical & Electronics Engineering
2019 - 2024
Grade: Second Class Honours Upper Division
Completed a Bachelor of Engineering in Electrical & Electronics Engineering with Second Class Honours Upper Division, focusing on engineering fundamentals and applied electronics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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