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Sumiksh T
@sumiksh
Software Developer and Data Analyst
Canada
Inglese, Hindi
Chi sono
I am a versatile Software Developer and Data Analyst with a career defined by the intersection of high-performance code and scalable data architecture. My professional journey is rooted in building user-centric mobile features and integrated Adobe Analytics at CIBC within Agile teams, followed by driving operational efficiency at Claret Asset Management through the migration of legacy SSIS workflows to robust Python ETL pipelines and Azure Cloud environments.
Competenze
Sumiksh T
offline •
Consulta i miei servizi
Consulenza Data engineering
I will power bi dashboard for US population visualization
Applicazioni web full stack
I will build full stack websites
Esperienza lavorativa
Junior Programmer Co-op
Ontario Public Service • Full time
Jan 2025 - Apr 2025 • 3 mos
Improved reporting speed by 85% by engineering a Python script (Selenium/Pandas) to automate data scraping and Excel generation, saving 20 minutes of manual labor per report. Reduced system defects by performing end-to-end functional testing on 4+ government tax/dental workflows and resolving logic issues via daily vendor standups. Streamlined vendor software alignment by serving as the Technical SME for Ontario Government programs, providing logic clarifications to ensure system compliance.
Android Developer Co-op
CIBC
May 2024 - Aug 2024 • 3 mos
Boosted user retention potential by developing and deploying a Kotlin-based gamification pilot in the mobile app, allowing users to earn points through in-app engagement. Enabled data-driven product decisions by integrating Adobe Analytics to capture and track real-time user behavior and feature performance metrics. Accelerated Agile delivery cycles by managing user stories and defects in JIRA while maintaining comprehensive sprint and role-management documentation.
IT Specialist
Claret Asset Management • Full time
Jun 2022 - Jan 2023 • 7 mos
Saved 8+ hours of weekly labor by engineering Python ETL scripts with Selenium to automate the scraping and storage of 250+ documents into a MySQL database. Modernized legacy infrastructure by migrating SSIS workflows to Python, significantly improving system maintainability. Optimized system reliability by troubleshooting and refactoring existing C# automation scripts, resulting in enhanced stability for core operational processes.
