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abdul_dataanlst

Abdul Masoud

@abdul_dataanlst

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

India
Engels, Hindi
Sommige informatie wordt in het Engels weergegeven.
Over mij
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! ... Lees meer

Skills

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abdul_dataanlst
Abdul Masoud
offline • 

Bekijk mijn diensten

Productanalyse
I will automate, clean, and forecast your excel data
VanafUS$ 5 / projectMeer informatie
SQL- en NoSQL-query's
I will extract complex data using sql joins and subqueries
VanafUS$ 5 / projectMeer informatie

Portfolio

Werkervaring

Self_Employed

Full-Stack Data Analyst & Business Intelligence Specialist

Self Employed • Freelance

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.