Mohit Dahiya

1. Gathered user requirements, conducted data analysis for Oracle databases in the Banking sector, and documented business and technical specifications using Jira and SDLC processes. 2. Led Power BI, Qlik dashboards for 500+ users across 15 countries (HSBC), identifying trends in liquidity data and cutting query times by 40% through UX optimizations. 3. Designed and optimized ETL processes (Replicate, Compose) for the GLE-LDS application using incremental load, reducing ETL process time by 80%.

1.Created dynamic data visualizations in Qlik and Power BI for CEO/CCO Business and Sales Performance Packs, Revenue Forecasts, and Customer Churn predictions using Qlik AutoML. 2.Led large-scale data analytics projects, identified gaps in business processes, and defined data models, architectures, and standards to support strategic decision-making. 3.Automated data reporting processes, saving 100+ work hours annually, and developed custom SQL queries and data warehouse models for insightful visualizations.

1. Automated 100+ reports for clients, reducing processing time by 70%, and delivered actionable insights through data modeling and statistical analysis. 2. Developed custom SQL queries and data models to create insightful business intelligence visualizations. 3. Managed end-to-end projects, focusing on FMCG sector requirements, and communicated insights tailored to client needs.

1. Implemented BI solutions and automated 50+ reports, reducing processing time by 80%. 2. Designed Finance and Healthcare dashboards, extracting and translating requirements into actionable insights using Power BI, Qlik, and Tableau. 3. Conducted client training and defined data models, architectures, and standards.

• Developed dashboards using QlikView (incremental load, QVD creation, section access) for clients like CASIO, HITACHI, and JBM Group. • Managed publishing and server setup, and created Proof of Concept dashboards to convert leads into prospective clients.

1. Designed Sales Analysis and Stock Inventory dashboards using QlikSense and QlikView, incorporating mashups with HTML/CSS and JavaScript for enhanced functionality. 2. Published reports and set up servers, while understanding user requirements and suggesting relevant KPIs and visualizations.

All subjects Related to computer engg ( Data structure, Software engg , Computer Networks)