📍 Manama, Bahrain — No sponsorship needed

Hi, I'm Yusuf Hakeem
Data Analyst

10+ years turning raw operational data into clear, actionable reporting — now applying that discipline to SQL, Python, and BI dashboards.

Yusuf Hakeem
✓ Bahrain-based
📊 SQL · Python · Power BI
🎓 Google Data Analytics

About

From auditable logs to actionable dashboards

Over 10+ years in security operations at G4S, I maintained accurate, auditable records, synthesized daily activity into reports stakeholders actually read, and tracked recurring patterns before they became problems — the same core discipline behind KPI reporting and trend analysis.

I completed a part-time Data Analytics Bootcamp with General Assembly (Oct 2025 – May 2026) and the Google Data Analytics Professional Certificate, building a technical toolkit to match: SQL, Python (pandas, NumPy, matplotlib), and BI dashboarding in Power BI and Tableau.

I'm already based in Manama — no visa sponsorship or relocation lead time required, so I can start delivering value from day one.

10+ Years structured reporting
4 Analytics projects shipped
0 Visa sponsorship needed
2 Certifications earned

Toolkit

Skills

📈

Data Analysis

Data cleaning, EDA, KPI reporting, trend analysis, root-cause analysis

🗄️

SQL

Joins, aggregations, CTEs, window functions (PostgreSQL / MySQL)

🐍

Python

pandas, NumPy, matplotlib — data wrangling, analysis, visualization

📊

BI & Visualization

Power BI, Tableau — interactive dashboards and reports

📋

Spreadsheets

Excel / Google Sheets — PivotTables, formulas, charts, data validation

Data Practices

Data quality checks, documentation, Git version control basics

Portfolio

Projects

Operations KPI Dashboard preview
Excel / Power BI

Operations KPI Dashboard

Cleaned and standardized an operations dataset; built a repeatable workflow for consistent monthly reporting with interactive KPI views.

View on GitHub
Retail Sales SQL Analysis preview
SQL

Retail Sales Analysis

SQL queries (joins, CTEs, window functions) to answer business questions on sales performance, seasonality, and product mix.

View on GitHub
Customer Behavior Exploration preview
Python / pandas

Customer Behavior Exploration

Data cleaning, missing-value handling, and feature exploration using pandas — visualized distributions to surface key drivers and outliers.

View on GitHub
Data Quality Checklist preview
Documentation

Data Quality Checklist Template

A reusable checklist for validating datasets (schema, duplicates, outliers, consistency) with an issue-tracking format.

View on GitHub

Credentials

Certifications

🎓

Google Data Analytics Professional Certificate

Completed via Coursera. Verified digital badge on Credly.

View Credly badge
🏆

Microsoft Power BI (PL-300)

Planned — next certification in progress.

Track record

Experience

Data Analytics Bootcamp (Part-Time)

General Assembly, Bahrain · 10/2025 – 05/2026
  • Completed a part-time Data Analytics program covering SQL, Excel, Python (pandas), and BI dashboarding (Power BI/Tableau).
  • Built the four portfolio projects above as applied coursework.
  • Practiced the full analysis workflow: data cleaning, exploratory analysis, dashboard design, and insight write-up.

Security Operator

G4S, Bahrain · 01/2014 – Present
  • Maintain structured incident and activity logs, ensuring accurate, auditable records for operational review.
  • Prepare daily/shift summaries, consolidating observations into clear reports for supervisors and stakeholders.
  • Track recurring incident patterns to flag operational improvement areas.
  • Coordinate cross-functional response during incidents, maintaining complete documentation under pressure.

Software Engineering Immersive

General Assembly, Bahrain · 06/2023 – 09/2023
  • Completed 400+ hours building data-driven web applications and APIs.
  • Worked with databases (MongoDB) and structured data models.
  • Built analytical thinking, debugging, and documentation habits that carry directly into analytics work.

Get in touch

Let’s talk

Based in Manama, Bahrain. No visa sponsorship or relocation lead time required.