a
abdul_dataanlst

Abdul Masoud

@abdul_dataanlst

Data Analyst,Excel Automation, SQL, Power BI, Python Expert

Indien
Englisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Welcome! I am a Full-Stack Data Analyst specializing in end-to-end data pipelines & business automation. I transform messy datasets into interactive enterprise assets that drive executive decisions. 🎛️ Tech Stack Expertise: • Excel & Power Query: Advanced data cleaning & ETL workflows. • SQL Server: Optimized relational queries & database joins. • Power BI: Executive dashboard layout wireframes & DAX modeling. • Python AI: Machine learning pandas automation & sales predictive analytics. Bug-free execution with absolute data confidentiality. Message me today! ... Mehr lesen

Kompetenzen

a
abdul_dataanlst
Abdul Masoud
offline • 

Meine Dienstleistungen

Produkt-Analysen
I will automate, clean, and forecast your excel data
Ab5 $ / ProjektWeitere Details
SQL- und NoSQL-Abfragen
I will extract complex data using sql joins and subqueries
Ab5 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Self_Employed

Full-Stack Data Analyst & Business Intelligence Specialist

Self Employed • Freiberufler

Feb 2026 - Present • 7 mos

Engineered and deployed end-to-end data analytics architecture and automated business intelligence pipelines for international corporate clients. Responsible for managing the complete data lifecycle across multiple tool stacks to drive executive decision-making. Key Deliverables & Core Execution: • Advanced Excel & Power Query: Structured high-performance data cleansing workflows, automated ETL pipelines, resolved missing value anomalies via median imputation, and configured conditional formatting risk alerts. • Relational SQL Development: Programmed optimized relational database queries and structured multi-table INNER JOINS/Subqueries to extract complex enterprise transaction records with zero execution latency. • Power BI Architecture: Designed high-converting interactive reporting dashboards with custom executive tile slicers, multi-connected cross-filtering layouts, and memory-efficient DAX measures. • Python Data Automation: Engineered production-grade Pandas scripts inside Jupyter Notebook to instantly clean massive datasets and trained Scikit-Learn machine learning regression models for predictive sales forecasting.