Shubham Choudhary

• Lead digital visualization and analytics initiatives, managing cross-functional teams to deliver business-critical dashboards and reports.
• Drive innovation in BI solutions leveraging Qlik Sense and automation tools.

• Developed complex dashboards with drill downs and threshold gauges.
• Collaborated with enterprise data warehouse and governance teams for data quality and architecture.
• Performed performance tuning and optimized data models and visualizations.

Supporting the Business Intelligence (BI) team in developing sustainable reporting solutions and addressing data-related issues raised by the business.

OTIS – Data Lake: Analytics & Reporting
January 2022 – February 2023

• Led the migration of dashboards from the on-premise (Enterprise) environment to the Cloud platform.
• Developed user management dashboards for both Cloud and Hybrid environments, consolidating data from multiple servers into unified, actionable views.
• Played a key role in ensuring data consistency, system performance, and usability throughout the transition.

Worked across multiple platforms including Excel and Qlik Sense to deliver analytical solutions and business insights in the healthcare domain, with a focus on oncology markets.

Key Projects:

• UK Oncology Business Analytics:
  Acquired in-depth functional knowledge of the UK oncology marketing division; delivered strategic insights and market analysis to support planning based on emerging trends.
• Finance Dashboard – Switzerland:
  Developed a consolidated reporting dashboard to track oncology market sales using key performance indicators such as Evolution Index, Patient Prevalence Rate, and Market Share.
• Report Harmonization Dashboard – Germany:
  Designed a unified dashboard to benchmark oncology product sales against competitors, incorporating linear regression to forecast future sales trends.
• Piqray Launch Tracker – Germany:
  Created a centralized platform to monitor the uptake and regional performance of a newly launched oncology product, with weekly and monthly sales tracking capabilities.

Gain a comprehensive understanding of the organization's data assets and develop sustainable reporting solutions to ensure data accuracy and integrity.

Credit Suisse – Business Analytics
July 2019 – March 2020

• Transitioned traditional Excel-based reporting to the QlikSense analytics platform.
• Engaged with stakeholders to gather business requirements and translated them into technical specifications.
• Integrated data from multiple sources to design and build optimized data models.
• Delivered robust BI solutions using QlikSense, ensuring reliability and user-centric design.

TCS – Data Office, A&I Division
October 2017 – June 2019

• Recommended visualizations and KPIs based on business needs and analytical goals.
• Liaised with business units and data teams to identify and acquire the necessary data.
• Collected requirements, developed technical design layouts, and created complex data models.
• Delivered BI solutions through QlikSense and Excel across multiple domains, including Finance, HR, and Administration.

The Kumbh Mela Experiment was an Indo-Dutch collaborative initiative focused on developing advanced methods and algorithms to support planners and event managers in effectively managing massive human gatherings.

The project addressed three core research areas critical to large-scale crowd management:

• Data Collection – Gathering real-time and historical data from various sources.
• Data Analysis – Interpreting complex datasets to uncover patterns and insights.
• Modeling and Prediction – Creating models to forecast crowd behavior and support proactive decision-making.