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farahnazpathan

Farahnaz

@farahnazpathan

Data Analytics and Automation Expert

Indien
Englisch, Urdu, Marathi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Data analytics & automation specialist helping businesses save time and make smarter decisions. I build RPA workflows, automate repetitive tasks, and turn raw data into clear insights. What I offer: • Data analysis & dashboards (Excel, Power BI, Tableau, SQL) • RPA (UiPath, Automation Anywhere, Power Automate) • Workflow automation: reporting, data entry, web scraping, integrations I help clients across finance, e-commerce, and operations cut manual work and gain real-time visibility into their data. Let's automate what's slowing you down.... Mehr lesen

Kompetenzen

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farahnazpathan
Farahnaz
offline • 

Meine Dienstleistungen

Daten-Dashboards
I will build data analytics dashboards and automate your workflows
Ab50 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Self_Employed

CEO

Self Employed • Selbstständig

Jan 2020 - Present • 6 yrs 6 mos

10+ years in tech consulting with focus on international clients, automation, and analytics Led design and implementation of UiPath RPA solutions for enterprise workflows (HR, finance, operations) Architected end-to-end AI and analytics solutions using Power BI, Python, and SQL for CXO-level reporting Implemented agentic automation and process optimization for businesses in India, Middle East, and Europe Advised clients on data strategy, KPI design, and ROI-focused automation roadmaps Key achievements Built UiPath automation to validate manager/coachee goals from Excel files, automatically flag discrepancies and trigger email alerts to supervisors, reducing manual review time and missed approvals Designed hospital Power BI dashboards covering patients, department performance, revenue, and P&L, giving management a single source of truth for clinical and financial decisions Delivered multiple end-to-end reporting solutions (from data modeling to DAX and visualization) that cut manual Excel work by 50–70% and improved decision speed Standardized KPI frameworks and dashboard layouts for clients, making reports easier to understand for non-technical managers Successfully handled complex, messy data sources (multiple Excels, databases, APIs) and turned them into clean, reliable analytics models