Description

Data Science Leader with over 15 years of experience delivering multimillion-dollar value for Fortune 500 companies through Artificial Intelligence and Machine Learning solutions. Expert in transforming complex data into actionable intelligence, leading high-performance teams, and implementing robust data governance frameworks. Proven ability to collaborate with C-suite executives to architect scalable innovative solutions that enhance efficiency, optimize decision-making, and drive revenue growth.

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Sutherland Global Services
Director Data Science
January 2022 - October 2024 (2 years and 9 months)
India
Led the data science initiatives within the Customer Experience Team at Sutherland, implementing machine learning solutions to enhance predictive analytics and drive data-driven decision-making for clients including Amazon, Netflix, McAfee and GoDaddy.
• As the Product Owner, spearheaded the development of over 80 automated Power BI dashboards for Amazon and Netflix, integrating SQL for real-time insights. Streamlined manual reporting processes, reallocating the workload equivalent to 8 full time employees.
• Optimized sales forecasting for McAfee's team at Sutherland by analyzing over 800,000 CRM tickets using a Weighted Ensemble model. Identified key revenue drivers such as discounts and customer satisfaction.
• Increased revenue for Sutherland's GoDaddy team by approximately 15% through k-means clustering segmentation of sales teams and Market Basket Analysis on ~200,000 transactions. Uncovered 35 frequent product combinations, leading to effective bundling and cross-selling strategies.
• Enhanced user experience for Netflix's team within Sutherland by analyzing performance metrics to identify operational issues. Proposed process improvements that improved weekend customer satisfaction scores by 25%.
• Investigated Sony PlayStation's refund processes for Sutherland, discovering that competitors offering larger refunds achieved a 5% higher satisfaction rate.
• Engineered LLM-powered text summarization and topic extraction in Power BI for Amazon's Agent Feedback dashboard using Gemini and GPT, including a text-to-image workaround for dynamic summaries.
Dentsu Advertising & Media Services
Partner Data Science
April 2021 - December 2021 (8 months)
India
Guided a 10-member Data Science team to develop media mix models for 11 Maruti Suzuki car models, analyzing over 50 factors—including seasonality, COVID-19 impact, and marketing expenditures—to forecast sales outcomes.
• Sourced data from 7 third-party vendors. Conducted exploratory data analysis, identifying key sales drivers. Selected linear regression with Box-Cox transformation as the final model for 11 car models, achieving the lowest RMSE.
• Secured project success and client satisfaction through regular reviews and feedback, deploying the solution securely on AWS for Maruti Suzuki's internal use.
Nokia Solutions and Networks
Sales (Analytics) Process Manager
February 2020 - October 2020 (8 months)
India
Directed process improvement initiatives for Nokia's €5 billion sales order management system, optimized productivity, and decision-making on a global scale.
• Implemented new key performance indicators (KPIs) that streamlined the sales order management process, effectively eliminating inefficiencies and reducing wasted bidding efforts by 25%.
• Created a Power BI sales dashboard accessed in 130 countries, providing real-time insights and increasing decision-making across international teams.

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Master of Science
Northwestern University
Master of Science, Data Science (Specialization – Artificial Intelligence),
Master of Technology
Birla Institute of Technology and Science
Master of Technology, Data Science and Engineering,