
Muhammad Umar
Data Analyst ETL Developer AI ML and Business Intelligence Specialist
Competenze

Consulta i miei servizi


Portfolio
Esperienza lavorativa
Self Employed
11 mos
Data Analyst | SQL, Dashboarding & Automation
May 2025 - Sep 2025 • 4 mos
Title: Data Analyst | SQL, ETL & Reporting Automation Description: Worked on data analysis, reporting automation, and KPI-driven insights using SQL, Python, and structured analytical workflows. Built reusable data pipelines to transform raw datasets into meaningful reports, dashboards, and actionable business insights. Responsibilities included: Data extraction, transformation, and validation (ETL) SQL query development and optimization for reporting KPI trend analysis and anomaly identification Dashboard-ready dataset preparation Automation of repetitive reporting workflows Data cleaning and quality validation Tools & Technologies: SQL, Python, Excel, ClickHouse, Dashboarding, Data Visualization, Automation
Telecom Data Analytics Specialist
Jan 2025 - May 2025 • 4 mos
Title: Telecom Data Analyst | LTE/5G KPI Analytics & Automation Description: Performed telecom performance analytics using large-scale LTE/5G datasets for KPI monitoring, reporting automation, and operational insights. Worked with structured performance counters, traffic metrics, accessibility, retainability, quality indicators, and utilization trends to support performance analysis and troubleshooting workflows. Scope of work: Cell-level KPI monitoring and trend analysis Automated KPI aggregation and reporting workflows Root cause analysis (RCA) support through data analytics Counter validation and performance deviation analysis SQL-driven reporting and dashboard preparation Performance visualization for decision-making Focus Areas: LTE KPIs, Traffic, Accessibility, Retainability, Mobility, VoLTE, Availability, Capacity & Quality Analytics
Analytics Automation Consultant
Aug 2024 - Nov 2024 • 3 mos
Title: Analytics & Automation Consultant | Data Insights & Reporting Description: Helped streamline data-driven workflows by automating reporting, KPI tracking, and analytical processes using SQL and Python-based solutions. Focused on converting raw structured data into decision-ready insights while reducing repetitive manual effort. Key contributions: Reporting automation and workflow optimization KPI monitoring and analytical reporting Data quality validation and transformation Interactive dashboard preparation Trend detection and performance deviation analysis Structured insight generation from operational datasets Worked with large datasets to improve reporting efficiency, consistency, and visibility into performance trends.