Aayushi Gupta

As a Lead Assistant Manager Data Scientist, I am driven by a meticulous and organized approach, always seeking to transform complex data into actionable insights with a strong sense of idealism. I thrive on diligent collaboration, applying logical frameworks to build innovative solutions that make a tangible impact.

Experience

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Lead Assistant Manager Data Scientist

EXL Service · Jul 2025 – Present

Not yet confirmed

• Led portfolio strategy design for debt collections across multiple industries by applying vintage, cohort, behavioral, and time-series analysis to optimize treatment strategies, increasing customer engagement by 25%.
• Recommended data-driven recovery initiatives, including payment plan optimization and customer segmentation strategies, improving enrollment by 15% and driving sustained improvements in cure and liquidation rates.
• Performed vintage and portfolio performance analytics to evaluate collection effectiveness across delinquency buckets, identifying high-impact optimization opportunities that increased liquidation rates by 40%.
• Designed delinquency lifecycle and treatment optimization strategies by analyzing customer risk profiles, payment behavior, and channel performance, enabling targeted recovery actions and improving collection efficiency.
• Developed executive BI dashboards using SQL and AWS QuickSight to track recovery KPIs, campaign performance, and operational efficiency, enabling leadership to make timely strategic decisions.

Lead Assistant Manager

EXL · Jul 2025 – Present

Not yet confirmed

• •Extracted, transformed and analysed large-scale datasets using SQL from Amazon Aurora RDS and S3, enabling accurate
• and timely reporting of collections and recovery performance metrics.
• •Designed and deployed interactive business intelligence dashboards using AWS QuickSight, tracking KPIs, including
• Liquidation Rate, Promise to Pay Rate (PTP), delinquency and roll-rates trends.
• •Spearheaded predictive risk segmentation and Exploratory Data Analysis (EDA) on portfolio trends, optimizing multi-channel
• recovery strategies that yielded a 40% increase in liquidation rates.
• •Conducted time-series, cohort and behavioural analysis to identify seasonality effects and peak customer engagement windows,
• enabling optimised communication timing and increased payer rates.
• •Led ongoing performance monitoring and strategy audits, benchmarking campaign and product outcomes against recovery
• targets, proactively identifying gaps and recommending actionable data-backed optimizations.
• •Partnered cross-functionally with operations, product and clients to align analytics initiatives with business goals and ensure
• measurable business impact.

Assistant Manager - Consultant I

EXL · Aug 2022 – Jun 2025

Not yet confirmed

• •Led end-to-end data analysis and performance measurement framework for an enterprise AI Chatbot, defining and tracking key
• KPIs, including Deflection Rate, Containment Rate, Agent Transfer Rate, Latency and Resolution Rate to evaluate operational
• and call centre efficiency.
• •Engineered automated ETL pipelines using Python, reducing manual reporting latency by 95% and ensuring data integrity for
• stakeholder decision-making.
• •Designed and delivered interactive Power BI dashboards to analyse chatbot interactions, call volume trends and resolution
• performance, supporting data driven decision-making for business stakeholders.
• •Developed an NLP-driven intent classification engine using Scikit-learn and TF-IDF, processing 91k+ records to achieve 85%
• accuracy and automating 100% of the manual categorization workflow.
• •Implemented and evaluated machine learning models (Logistic Regression, Random Forest, Decision Tree, Naïve Bayes, SVC)
• using Python, enabling reliable intent-level insights.
• •Applied data preprocessing and NLP techniques (tokenization, lemmatization, TF-IDF vectorization) to enhance feature
• extraction and improve model performance.
• •Reduced manual data analysis effort by ~95%, accelerating insight delivery and improving operational responsiveness.
• •Conducted trend and gap analysis on user journeys to identify friction points and optimization opportunities, contributing to higher
• self-service resolution and reduced agent dependency.

E

Assistant Manager Data Scientist

EXL Service · Feb 2022 – Jun 2025

Not yet confirmed

• Owned the end-to-end analytics roadmap for an enterprise AI chatbot, defining KPI frameworks, performance governance, and executive dashboards that informed strategic decisions and optimized customer support operations across 91K+ interactions.
• Led the design of a centralized BI and reporting ecosystem using Python, SQL, and Power BI, automating enterprise reporting, improving data reliability, and reducing manual effort by 95% while enabling near real-time operational insights.
• Influenced product and operational strategy through advanced customer journey, behavioral, and NLP-driven analytics, identifying high-impact opportunities that improved self-service adoption, reduced contact center workload, and elevated customer experience.
• Partnered with senior business, product, and operations stakeholders to translate analytics into strategic initiatives, embedding data-driven decision-making and continuous performance optimization across digital support channels.

What drives their work

The Strategist

Before acting, you meticulously analyze data to chart the most effective course.

Aayushi's superpower

You excel at transforming complex data into actionable strategies and robust, automated systems that drive measurable business impact.

How Aayushi works

You are best suited for teams that value data-driven decision-making, continuous improvement, and a strong sense of collective ownership.