Ishita Datta
Vice President,analytics Manager @Wells Fargo
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WORK HISTORY
Vice President,analytics Manager @Wells Fargo
Bengaluru, IN
Align sales analytics across business units to guide decisions on sales coverage, pipeline health, and sales rep performance, leveraging predictive models such as regression analysis, time-series forecasting, and propensity scoring in Power BI and Tableau dashboards.Partner with senior leadership to define and implement standards of care, including calling criteria, new customer acquisition frameworks, and executive-level reporting enriched with machine learning–driven forecasts and interactive visualizations.Analyze Total Addressable Market (TAM) and market coverage trends, applying clustering, lead scoring algorithms, and scenario modeling, while building dynamic dashboards in Power BI and Tableau to highlight growth opportunities.Manage third-party vendor relationships to deliver external business analytics, market forecasts, and benchmarking for specific verticals, integrating outputs into interactive BI reports for data-driven decision-making.
EDUCATION
Salt Lake School
ISC, Business/Commerce, General
University of Calcutta
Master's Degree, Economics
Lady Shri Ram College For Women
Bachelor's degree, Economics
Auxilium Convent School,Dum Dum
ICSE, General
SKILLS
ABOUT ISHITA DATTA
Turning data into decisions, and decisions into growth.Data science and analytics leader with 15+ years of experience at Wells Fargo, Dell Technologies, and HP, delivering predictive, prescriptive, and diagnostic insights that shape sales strategy and accelerate business growth.Wells Fargo: Apply regression, time-series forecasting, clustering, and propensity scoring within Power BI and Tableau to optimize sales coverage, pipeline health, and rep performance. Build machine learning–driven dashboards and partner with leadership to set sales standards, uncover whitespace, and deliver executive-ready insights.Dell Technologies: Reimagined quota management and compensation using SQL, Tableau, and R. Automated analytics pipelines, applied statistical modeling for performance forecasting, and developed self-service BI solutions to boost transparency and efficiency.HP: Led APJ sales analytics, designing enterprise frameworks for sales performance measurement and predictive early warning systems. Delivered churn prediction, customer segmentation, recommendation engines, RFM scoring, and whitespace analysis using advanced statistical and ML techniques to maximize revenue.I thrive at the intersection of business strategy, advanced analytics, and machine learning—creating scalable solutions that answer today’s business questions while anticipating tomorrow’s challenges.
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