Kapish Gupta

High-performing Data Science postgraduate (9.82 SGPA, Sem II; 9.36 SGPA, Sem I) with a foundational degree in Information Technology (9.10 CGPI, Grade A+, Awarded "Best Student"). Experienced in enterprise ERP workflows, bank & ledger reconciliations, business intelligence reporting, and full-stack software development. Proven track record in structuring large-scale transactional datasets for GST compliance, developing RESTful APIs, and implementing predictive analytics pipelines.

Seeking entry-level roles in Data Analytics, MIS Operations, Web Development, or Associate Data Science.

Data & Operations Analyst Intern (OJT) at Shree Krishna Traders (2025-10 – 2026-02)

• ERP & Operational Management: Commanded daily Enterprise Resource Planning (ERP) billing modules and transaction records, maintaining 100% operational precision across high-volume distribution entries.
• Financial Reconciliation & Audit: Executed systematic weekly multi-account bank and ledger reconciliations, identifying, auditing, and resolving transactional discrepancies.
• GST Compliance & CA Reporting: Cleaned, normalized, and compiled complex commercial sales and billing datasets into structured compliance schedules for Chartered Accountants to ensure timely GST filings.
• Sales Intelligence: Structured dynamic sales performance trackers and analytical Excel reports, giving management actionable visibility into inventory trends and product flow.

Full Stack Web Developer Intern at DevTown (2024-06 – 2024-09)

• Top-Tier Engineering Cohort: Ranked among the top 20 performers in an engineering batch of 250 students based on development speed, consistency, and clean code architecture.
• Full-Stack Architecture: Engineered responsive client-facing interfaces and integrated modular RESTful backend services using JavaScript to streamline data operations.
• Schema Modeling & Validation: Designed normalized database models and implemented rigorous input validation, eliminating API payload errors and accelerating query speed.

Master of Science (M.Sc.) in Data Science – SIES College of Commerce & Economics (2027)

Bachelor of Science in Information Technology – SIES College of Commerce & Economics (2022 – 2025)