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Mutti Ullah Qureshi

Mutti Ullah Qureshi

Data Analyst | SQL · Python · Power BI · Statistical Analysis · Data Extraction & Reporting

Talent
IslamabadMember since July 13, 2026
SQLPythonExcelData CleaningData ValidationStatistical AnalysisPower BIMS SQL ServerETL
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SQLPythonExcelData CleaningData Validation

About

Detail-oriented Data Analyst with 3+ years of experience extracting, cleaning, and analyzing data from primary and secondary sources to identify trends, patterns, and business insights. Proficient in SQL, Python, Power BI, and Excel — skilled at removing corrupted data, fixing data quality issues, developing and maintaining databases, and preparing clear management reports. Strong analytical and conceptual thinking skills with a go-getter attitude and a proven track record of delivering accurate, actionable insights for US enterprise clients.

Exceptional written and verbal English communication skills.

Experience

Data Analyst & Business Analyst - Planstreet Inc. - Remote – USA

(2023-01)

  • Used automated tools and SQL queries to extract data from multiple primary and secondary sources — pulling, filtering, and aggregating large datasets for analysis and reporting across US state enterprise accounts
  • Removed corrupted data and fixed coding errors — performing data cleaning, NULL handling, deduplication, and format standardization across 50+ structured data configurations to maintain database integrity
  • Developed and maintained databases and data systems — reorganizing raw data into readable, structured formats for downstream analysis and management reporting
  • Performed analysis to assess quality and meaning of data — reviewing performance indicators, filtering reports, and identifying and correcting data problems before they reached client dashboards
  • Used statistical tools to identify, analyze, and interpret patterns and trends in complex datasets — providing insights into operational performance and predicting areas requiring attention
  • Assigned numerical values to key business functions — enabling management to assess and compare performance across reporting periods and against defined targets
  • Analyzed trends impacting the organization across multiple client accounts — preparing management reports stating trends, patterns, and predictions using relevant data
  • Maintained <24h SLA on all data requests — communicating findings clearly in English to US enterprise stakeholders across multiple time zones

Data Analyst & Full Stack Developer - MaxRemind Inc. - Rawalpindi, Pakistan

(2024-09 - 2025-05)

  • Extracted and processed data from multiple sources using SQL and Python automation scripts — building ETL pipelines that replaced manual data extraction workflows
  • Cleaned and maintained databases across 184+ tables on MS SQL Server — removing data errors, fixing inconsistencies, and reorganizing data into structured, analysis-ready formats
  • Used statistical and analytical techniques to identify patterns and trends in large operational datasets — surfacing insights that informed management decisions on a 10,000+ user platform
  • Built Power BI dashboards and Excel management reports showing trends, patterns, and KPI performance — used by leadership for weekly data-driven decision-making
  • Reduced database query response times by 25% through index optimization and schema normalization — improving data extraction speed and reporting accuracy
  • Implemented data validation controls and quality checks — achieving zero data integrity incidents post-launch across all production databases
  • Prepared regular performance reports for management — clearly communicating data findings, trend analysis, and recommendations in written English

Education

BS - Information Engineering Technology - Foundation University Islamabad (FUI) (2021-09 - 2025-08)

Skills

Data AnalystSQLPythonPower BIStatistical AnalysisData Extraction & Reporting

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