Sudip Pandey

The upgraded platform was rolled out to all the respective banking clients, resulting in GDPR compliance, avoidance of regulatory fines, and preventing delays in implementation.

In a hybrid role of a scrum master and project manager, I played a pivotal role between the internal product teams, compliance team, and representatives of several banking clients by leading a series of workshops to ensure all the facets of GDPR were considered and accommodated. Also, I secured the timely delivery of the project by effectively mentoring and managing the development team through Agile lifecycle practices and using the agile project management tools, such as Team Foundation Server, now known as Azure DevOps Server, to groom and maintain the progress on the user stories.

We delivered the project within the designated budget of $1 million by effectively tracking, monitoring, and grooming the backlog to ensure everyone had a clear view of the MVP. The team didn’t waste any time or effort on producing unwarranted features.

The project was a tremendous success as it resulted in timely compliance that saved the banks reputational damage and millions of dollars in fines that would have ensued if there had been any delay and non-compliance.

In this challenging role, I ensured seamless non-disruptive execution of the migration by collaborating closely with the executives and managers from 12 different business units. I effectively managed a culturally diverse team of 50 technical resources, including business analysts, technical architects, technical SMEs, and geographically dispersed administrators, to migrate 50 mission-critical applications from the old to the newly built data center. We successfully delivered the respective migration phase within the designated budget of $10 million by closely tracking, reporting, and collaborating with stakeholders at all levels, including, but not limited to, senior executives. Finally, I introduced practical and out-of-box measures such as, but not limited to, getting pre-approved blanket purchase orders in place to avoid time delays in logistical procurements.

The overall program was a huge success and highly praised and publicized, as seen in the link to a local newspaper article provided below.

In this highly-focused and time-sensitive project, I effectively managed two delivery squads as a release train engineer to deliver completely new functionality to enable the small business owners faster loan application processing for borrowings worth under $2 million in value.

In order to meet the record timeline for delivery of this project, I introduced pragmatic measures, such as facilitating out-of-turn release cycles and conducting daily standup with delivery teams, product owners as well as a business sponsor to ensure fast removal of impediments and to effectively communicate daily proceedings to all the senior executives.

These practical measures have ensured the successful delivery of the project within a three-and-a-half week duration and well within the $1 million allocated budget to enable the bank to introduce the new functionality to a large audience in a broker event.

• 20-30% — Data Platform Cost Utilization Enhancement
• $1 Million — Enterprise Wide Agentic Solution Deployment

• Enhance cost optimization for the data platform for various customers
• Enable AI adoption by implementing an agentic solution for the insurance lodgment process
• Implement predictive maintenance ML model for energy client
• Implement ML anomaly detection solution for the largest tech giant in Australia

• Managed multiple projects ranging from well-architected Lakehouse review to enterprise-wide data platform roll-out and migration from legacy platform to Databricks.

• Managed cross-functional teams (architects, data engineers, data scientists, ML consultants, vendors).
Industries: Banking, insurance, telco, energy
Tools: Databricks, MLOps, DBT, Power BI.

• Implemented ML models for predictive maintenance and anomaly detection

• Implemented an agentic solution to enhance the insurance claims lodgment process for the leading insurer

• Enhanced cost utilization of the data platform by 30%
• Implemented an agentic solution for the leading insurer, resulting in cost savings (around $1 million) by removing headcounts and a quick turnaround time on lodgment and respective decision