Hamza Anjum

Data Analyst

Lahore, Punjab, Pakistan8 mos experience

Key Highlights

Built dashboards that improved decision-making by 30%.
Expert in transforming raw data into actionable insights.
Fast learner, adapting to new tools in days.

Stackforce AI infers this person is a Data Analyst specializing in Business Intelligence and Data Analytics.

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Skills

Core Skills

Data AnalysisBusiness Intelligence

Other Skills

Microsoft Power BIData CleaningETLPythonSQLData VisualizationConsumer BehaviorFivetran ETL ToolLoan AuditingLoan Portfolio AnalysisLarge-scale Data AnalysisStructured AnalysisWorkflow AnalysisData StrategiesData Quality

About

I don't just run queries — I find the numbers that change decisions. I'm a Data Analyst based in Lahore, Pakistan, specializing in Python, SQL, and Power BI. I build end-to-end analytics pipelines: raw data → clean dataset → business insight → interactive dashboard. What I've built: → Bank Loan Risk Analysis (38K+ records) — Power BI dashboard that improved risk identification by 30% → Telecom Churn Analysis — Cohort analysis uncovering retention patterns, improving strategy effectiveness by 20% → Retail Customer Behavior — Segmentation + EDA improving marketing targeting efficiency by 25% My stack: Python (Pandas, NumPy, Matplotlib, Seaborn) · SQL/MySQL · Power BI (DAX, Power Query) · Excel · ETL · Git Currently: ✔ Freelancing on Fiverr — delivering dashboards and analysis for clients ✔ Open to remote junior Data Analyst roles globally (full-time or contract) ✔ Fast learner — I pick up new tools and domains in days, not weeks If you need someone who: → Cleans messy data and makes sense of it quickly → Builds dashboards that non-technical stakeholders actually use → Delivers on time without hand-holding

Experience

8 mos

Total Experience

8 mos

Average Tenure

8 mos

Current Experience

Fiverr

Data Analyst

Sep 2025 – Present · 8 mos · Remote

Delivering end-to-end data analytics and BI solutions to clients across industries:
→ Designed and built KPI dashboards in Power BI (DAX, Power Query) for business performance monitoring
→ Executed ETL workflows: raw data extraction → cleaning → transformation → structured analysis
→ Performed EDA using Python (Pandas, Matplotlib, Seaborn) to uncover trends and anomalies
→ Built SQL-based reporting pipelines for data-driven decision-making
→ Cleaned and validated datasets with 95%+ data quality standards
→ Delivered insights on customer behavior, sales performance, and operational metrics

Microsoft Power BIData CleaningETLPythonSQLData Analysis+1