Annesha Bhattacharjee Email & Phone Number

Palm Beach Gardens, FL, US

United States

Gurugram, Haryana, India

• Key consultant for one of the largest sports leagues in the USA:
• Collaborated closely with stakeholders from the NFL to understand business objectives and translated them into data-driven solutions, effectively bridging the gap between business and analytics.
• Conducted in-depth analysis of fan engagement data uncovering trends and drivers for sales at merchandise stores and other client's products' portals, leading to actionable insights and recommendations for improving.
• Built and analyzed a data visualization dashboard on Power BI for NFL shopper data to look at the trends of revenue generation and cost allocation in different product categories.
• Developed and implemented innovative approaches for customer segmentation using K-means clustering, resulting in more targeted and effective marketing campaigns.
• Created and presented a final document to NFL, narrating the story of customer segmentation, identifying what items work for which customer segments and suggesting what actions to take for improvement in sales. Data.

Mumbai, Maharashtra, India

• Led a cross-geographical model validation project for a Global Bank, using data analysis and statistical methods to assess the structure, methodology, performance, and governance of 5 financial models.
• Collaborated with teams across Poland, Switzerland, and the USA, using project management skills to coordinate efforts and ensure project success.
• Engaged effectively with various stakeholders within the bank, using communication and interpersonal skills to foster collaboration and ensure a comprehensive model validation process.

Mumbai, Maharashtra, India

• Built predictive models using Decision Tree and Logistic Regression for credit risk assessment, in Python and R to develop a Portfolio Monitoring Framework and enhance Collection Mechanism for a PSU in the Indian.
• Applied quantitative methods in Excel and Python, to gather inferences on the customer base for banks, to decode trends and patterns in consumer behavior.
• Effectively presented a comprehensive customer pattern report to key stakeholders, gaining their endorsement of the analysis and agreement on the alignment of strategies and actionable next steps for improvement in the.
• Developed Decision Trees and XGBoost models for behavioral scoring and customer segmentation, enabling targeted marketing strategies in the credit sector.
• Led cross-team interactions with clients for successful model implementations and deployments on the clients’ production system.

Master Of Science - Ms, Business Analytics, 3.91

Activities and Societies: Peer Career Advisor, CDC Student Advisory Council

Master'S Degree, Economics

Bachelor'S Degree, Economics

Isc, Commerce, 96%