Samikshya Pramanik

PROFESSIONAL SUMMARY

Qualified Senior Manager with 13 + years in Data Analytics, BI & Data Visualization, Data Quality, Project Management in Retail, Telecom, BFSI domains. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

• Direct, coach, and instruct staff assigned to an engagement.
• Quickly develop a strong understanding of business model, including products, services, and organizational units
• Influence and gain buy-in from the Senior Leadership team of the various businesses by communicating program requirements and value proposition to gain the support needed to implement the program across the Division.
• Lead a 40+ teams of managers, developers & business analysts.
• Actively contribute to resource planning, resource management and staff engagement to ensure that we have competent and sufficient engagement resources, with relevant skill sets to meet each audit and our annual plan.
• Interacting with technology group supporting the enhancement of the current residual risk model and automation of reporting and analysis.
• Independently communicate and negotiate with internal.
• Executed overall data integration, cleansing, manipulation, aggregation, data model designing and process improvement for reporting and visualization within credit risk analytics platform from application (origination) facility file to decision file and account performance in SQL, SAS, and Python.
• Using automated tools to extract data from primary and secondary sources.
• Removing corrupted data and fixing coding errors and related problems.
• Developing and maintaining databases, and data systems - reorganizing data in a readable format.
• Performing analysis to assess the quality and meaning of data.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems.
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyzing local, national, and global trends that impact both the organization and the industry.
• Preparing reports for the management stating trends, patterns, and predictions using relevant data.
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.