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kushagr_saxena

Kushagr Saxena

@kushagr_saxena

Python Developer

Indien
Englisch, Hindi
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Data Analyst with an MCA and hands-on experience across two internships at Tata Power, building Python and SQL-based tools for reporting, ETL automation, and data validation. Skilled in translating raw operational data into dashboards and automated reports using Power BI, SQL, and Python. Comfortable working across the full data pipeline — from extraction and cleaning to visualisation and delivery. Currently based in India and seeking a Data Analyst role in Dubai, with willingness to relocate, to apply analytical and automation skills to real-time, data-driven decision-making.... Mehr lesen

Kompetenzen

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kushagr_saxena
Kushagr Saxena
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Benutzerdefinierte Websites
I will build a responsive business website or web design for your company
Ab80 $ / ProjektWeitere Details

Arbeitserfahrung

Tata_Power

Tata Power

Vollzeit • 4 mos

Web Development / Python Development Intern

May 2025 - Jul 2025 • 2 mos

• Automated reporting: built a Python utility to pull data from multiple MS-SQL databases and generate standardized reports, with an HTML/CSS interface letting stakeholders run reports without writing SQL. • Test data generation: designed a tool to create high-volume synthetic datasets that preserved referential integrity, speeding up the QA cycle and enabling edge-case testing. • Data integrity tooling: developed a reconciliation tool to detect and remediate missing records caused by network/extraction failures, achieving 100% data completeness between source and destination

Web Development Intern

Jan 2024 - Mar 2024 • 2 mos

• Dashboarding: built a web-based dashboard (HTML/CSS, Python) on PostgreSQL data for centralized monitoring of key metrics. • Data extraction: developed a Python web crawler/scraper and validated API endpoints and data flow using Postman. • Automation: implemented automated email alerts triggered by defined data conditions and system events. • Deployment: supported production deployment and uptime monitoring of applications using PM2