Data Analyst building expertise through practical projects and continuous learning — turning raw data into business insight since 2025.
I am a detail-oriented Data Analyst passionate about transforming raw data into meaningful business insights. Since beginning my analytics journey in 2025, I have developed interactive dashboards, optimized datasets, written SQL queries, and built business intelligence solutions using Excel, Power BI, SQL, Tableau, and Python.
I enjoy solving business problems through data-driven decision-making and continuously expanding my technical expertise across the full analytics stack — from raw data ingestion and Power Query ETL pipelines through to executive-level KPI dashboards and relational SQL database design.
What drives my work in data analytics and business intelligence.
My core goal is to empower organizations and individuals to make confident business decisions backed by clean, well-modeled data — not guesswork.
I am committed to consistently deepening my expertise in DAX, Python analytics, advanced SQL window functions, and enterprise Power BI architecture.
I believe dashboards should tell a story. My focus is on creating intuitive, high-impact visualizations that non-technical stakeholders can act on immediately.
Key milestones shaping my expertise in data analytics, business intelligence, and database query optimization.
DanlamiPro — Independent & Freelance Analytics
Launched professional Data Analytics portfolio in 2025. Building 16+ enterprise-grade case studies across Power BI, Advanced Excel, relational SQL databases, and Tableau visualizations.
Hands-On Skill Acquisition & Project Engineering
Underwent rigorous hands-on training in end-to-end data pipelines: data cleaning, normalization, relational data modeling (Star Schema), DAX formulations, and executive dashboard design.
University Computer Science Background
Built strong core foundation in relational database management systems, data structures, computer algorithms, and quantitative logic. Completed academic SQL analysis on student CGPA distributions and department graduation rates.
Core tools and competencies applied across real-world analytics projects.
Power BI, DAX Measures, Tableau, Dashboard Development, KPI Development, Business Analytics, Reporting.
SQL, MySQL, Data Modeling, ETL, Window Functions, Complex Joins, Stored Procedures, Views.
Microsoft Excel, Power Query, Data Cleaning, Data Analysis, Data Visualization, Automated Models.
Python, Pandas, NumPy, Matplotlib — for exploratory analysis, automation, and custom visualizations.