Trisha Gupta

About Trisha Gupta

As a Senior Associate- Analytics at Unisys, I manage end-to-end BI reporting and analytics workflows, delivering highly accurate and timely enterprise dashboards. My role involves data ingestion, validation, transformation, and visualization, with a strong focus on semantic modeling and KPI dashboards. By leveraging tools like Power BI, SQL, and Azure Databricks, I contribute to data-driven strategies that enhance operational efficiency. My educational foundation includes a B.Tech degree from Bundelkhand University, complemented by recent specialization in Data Science and Machine Learning at Scaler. Passionate about stakeholder management and data analytics, I aim to empower organizations with actionable insights through scalable and efficient data solutions.

Experience

1. Senior Associate- Analytics

   Unisys

   Mar 2024 — Present · Gurugram, IN

   Led end-to-end BI reporting and analytics lifecycle, including data ingestion, data validation, transformation, semantic modeling, and visualization, delivering enterprise dashboards with 98% data accuracy and on-time refresh SLAs.• Worked with existing ETL workflows to extract data from Data Warehouses and Data Lakes using SQL (SSMS, Databricks), performing data cleansing, normalization, deduplication, and validation checks, improving data processing efficiency by ~30%.• Designed and maintained Power BI semantic models by implementing star and snowflake schemas, defining optimized relationships, and developing DAX measures to support scalable analytics across high-volume operational datasets (incidents, calls, chats, tasks).• Developed automated Power BI dashboards and reporting pipelines, leveraging incremental refresh, query folding, and optimized data models, reducing manual effort by 38% and improving visibility into product health and user experience metrics.• Optimized SQL queries and Power BI model performance by tuning joins, indexing strategies, aggregations, and data granularity, achieving 22–25% improvement in report load and refresh performance.• Automated data preparation and transformation logic for recurring reports using SQL and Power BI, applying validation and reconciliation checks to ensure data accuracy, reducing processing time by 45–50%.• Designed and deployed KPI- and SLA-driven dashboards, modeling metrics for service performance, utilization, compliance, and turnaround times, proactively identifying bottlenecks and contributing to a 12% improvement in service accuracy and ~6% operational cost savings.• Collaborated closely with stakeholders to translate business requirements

Education

• Bundelkhand University

  B.Tech

  2017 — 2021

• Scaler

  Data Science and Machine Learning