Nteh Samuel
@ntehsamuel
Data Analyst turning raw data into actionable insights using SQL, Python, and Power BI.
What I'm looking for
I’m a Data Analyst with 3.5 years of experience transforming raw datasets into operational insights across logistics, HR, and business analytics. I focus on cleaning, modeling, and analyzing data so teams can make better decisions with confidence.
I’m proficient in MySQL, Python, Power BI, Excel, and Databricks, and I’m comfortable working with structured transactional data. I use SQL to uncover trends and build reliable analytical views, then translate findings into clear visuals and narratives for non-technical stakeholders.
On projects, I’ve delivered end-to-end analytics—from ingesting messy data to producing reusable frameworks. For example, I cleaned and standardized a 10,000-row layoffs dataset (MySQL) and wrote 15+ advanced SQL queries to identify layoff patterns by industry, company, and geography.
I also build dashboards that enable exploration rather than just reporting results. My Power BI work includes multi-page diversity KPIs with DAX measures (e.g., promotion rate disparities and retention trends), while my Excel reporting uses PivotTables, slicers, and dynamic charts to support decision-making.
Experience
Work history, roles, and key accomplishments
Data Analytics Project - Bike Sales
Personal Project
Built a fully dynamic Excel analytics report using PivotTables, slicers, and custom charts to analyze 12 months of bike sales across 3 categories and 4 customer segments. Identified top models and peak seasonality and delivered an interactive dashboard that helped surface a 28% sales concentration in a single customer age band.
Data Analyst Project - Layoffs
Personal Project
Ingested, cleaned, and standardized a 10,000-row layoffs dataset using MySQL, resolving duplicates and nulls to reach 98%+ data integrity. Wrote 15+ advanced SQL queries to identify layoff trends by industry, company, and geography, including that tech accounted for 42% of total layoffs.
Power BI Diversity Analytics Dashboard
Personal Project
Designed and built a multi-page Power BI dashboard to track workforce diversity KPIs, including gender distribution, representation, promotion rates, and retention trends. Used DAX measures to calculate promotion rate disparities across 6 segments, highlighting a 17-percentage-point gap and enabling drill-down by department and hire cohort.
Education
Degrees, certifications, and relevant coursework
Microsoft
Microsoft Power BI PL-300, Business Intelligence (Power BI)
Currently working toward the Microsoft Power BI PL-300 certification.
University
Bachelor of Science, Economics
Grade: 4.2 / 5.0
Activities and societies: Relevant coursework: Econometrics, Statistical Analysis, Operations Research, Quantitative Methods, Data-Driven Decision Making.
Earned a B.Sc. in Economics (graduated 2021) with a GPA of 4.2/5.0. Coursework included econometrics, statistical analysis, and operations research.
Coursera
Google Data Analytics Professional Certificate, Data Analytics
Completed the Google Data Analytics Professional Certificate to build data analytics skills using tools and workflows relevant to analytics roles.
Udemy
Python for Data Science & Machine Learning Bootcamp, Data Science & Machine Learning
Completed a Python for Data Science & Machine Learning bootcamp, focused on applying Python to data science and ML tasks.
Availability
Location
Authorized to work in
Job categories
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