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mohammedalipak

Mohammed Ali

@mohammedalipak

Data Architect Automation Specialist

Paquistão
Inglês, Urdu, Hindi
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a results-driven Data Consultant with extensive expertise in Advanced Excel, VBA Automation, and Business Intelligence. I specialize in transforming fragmented data into high-performance tools and interactive dashboards. With a technical background in SQL, ASP.NET, and Statistical Analysis (SPSS), I build end-to-end data pipelines that save businesses hundreds of manual hours and provide clear, visual insights for decision-making.... Saiba mais

Habilidades

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mohammedalipak
Mohammed Ali
offline • 
Tempo médio de resposta: 1 hora

Portfólio

Experiência profissional

Data Science

DataTech Solutions Pvt Ltd, Islamabad, Pakistan • Freelance

Dec 2018 - Present • 7 yrs 5 mos

Daily Responsibilities • Manage and update large Excel databases with 80,000+ records • Create and maintain dashboards using Pivot tables and charts • Automate repetitive reporting tasks using Excel templates • Develop and maintain VBA macros for daily processes • Review data accuracy and fix issues before reporting • Support teams with Excel-based analysis and reporting Achievements (Overall Period) • Reduced reporting time from 6 hours to 30 minutes • Automated 10+ recurring reports using VBA • Built dashboards used by management for decision making • Improved team productivity by 60 percent

Data Analyst

ABC Marketing Pvt Ltd, Islamabad, Pakistan • Período integral

Dec 2015 - Dec 2018 • 3 yrs

Daily Responsibilities • Clean and update survey datasets in Excel on a daily basis • Remove duplicates and fix missing or incorrect values • Standardize text, dates, and numeric formats • Apply formulas such as INDEX MATCH, SUMIFS, COUNTIFS • Prepare daily and weekly reports for internal teams • Maintain structured datasets for analysts and managers Achievements (Overall Period) • Reduced data errors by 40 percent through validation rules • Processed over 100,000 records across multiple datasets • Improved reporting accuracy for client deliverables • Reduced data preparation time by 50 percent.