Apr 2024 – Present · 2 yrs 1 mo

• 1. Driving business impact with innovative AI solutions
• A. Enhanced client experience by strengthening the effectiveness of client communications and enhanced user workflow processes using GenAI
• 1. Built an AI-powered quality checker to ensure client emails are clear, personalized & engaging, enhancing client experience & engagement
• 2. Integrated AI tools into email platforms, streamlining workflows and boosting productivity.
• 3. Built tools to evaluate system stored data quality for reliable insights.
• B. Increased client engagement through personalized recommendations
• 1. Launched a recommendation engine to suggest relevant resources tailored to user workflow driving higher engagement
• 2. People Leadership
• Provides tailored coaching, ensures continuous learning & development through targeted trainings, conferences & strategic growth opportunities.
• 3. Team building & Development
• 1. Leading agile, high-performing team to deliver accelerated, high-quality results.
• 2. Recruiting top talent, streamlining onboarding & sharing regular feedbacks
• 3. Hosted the Data Science Hackathon with 36+ external candidates, strengthening the DS talent pipeline
• 4. Driving Team Effectiveness & Operational Excellence
• 1. Implemented best practices for quality delivery, including documentation, code reviews, regular planning, priority management, enabling backups
• 2. Drove team effectiveness initiatives
• 3. Enabled Right infrastructure for development
• 5. Driving innovation: Led patent submissions for novel data science solutions and fostered a safe environment for team experimentation & innovation.
• 6. Leading end to end solution development involving active engagement with business stakeholders on requirements, shaping roadmaps, & launch pilots and partnering with product and data engineering teams to build client-centric tools and robust architectures
• 7. Establishing Cross functional Partnerships for use case development and strategic alignment ensuring consistent client experiences.

Apr 2022 – Jun 2024 · 2 yrs 2 mos

• 1. Driving business impact with innovative AI solutions
• 1. Boosted service associate efficiency through GenAI-powered automation and process standardization.
• Automated the generation of value delivery reports from multiple data sources, saving time and standardizing reporting.
• Piloted an AI-based evaluation tool for presentation materials, improving assessment quality and consistency
• 2. Increased client engagement through personalized recommendations
• Implemented model to recommend client priorities based on digital footprint, enabling more effective meeting preparation.
• Created content recommendation models to surface relevant materials, advancing client engagement.
• Developed a peer recommendation algorithm & content recommendation basis peer consumption to enable client look around the corners.
• 3. Designed Metrics to enable more effective engagement strategies using NLP
• Designed logic which objectively measure value delivered to clients by aligning client engagements with their priorities using text embeddings enhancing client engagement strategies. Value Delivered is used as a metric to quantify impact of different business initiatives.
• 4. Enabled next best action recommendations, data driven content planning by deploying predictive analytics and statistical modeling
• Developed Asset-Level Retention Models driving next best retention driving actions for clients
• Developed Model to evaluate impact of content on retention to enable data-driven content evaluation and content planning for RnA teams
• 5. Monitoring adoption and impact of Data products
• Built dashboards to automate tracking of tool adoption and feature usage and impact on client engagement and retention.
• 6. Team Development:
• Led Paper Reading Forum for discussing recent AI/ML research papers to ensure ongoing learning.
• Developed question banks and case studies for objective evaluation of candidates

Feb 2019 – Mar 2022 · 3 yrs 1 mo

• Driving business impact with innovative AI solutions
• 1. Enable proactive management, retention forecasting, and risk identification through predictive modelling and statistical analysis.
• Developed service calls prioritization algorithm incorporating business logic for at-risk clients, improving retention, Transitioned Excel-based reports into a product, improving efficiency for Service associates
• Created models to assess call quality and identify elements that drive higher retention
• Built systems to proactively detect disengaged clients, enabling targeted retention efforts
• Conducted retention analysis to highlight key factors for focused engagement strategies.
• 2. Generated actionable insights and targeted recommendations from client feedback, improving responsiveness and service quality using Deep learning models
• Developed a multi-stage client feedback classification model, enabling rapid identification and routing of actionable feedback for business decisions.
• 3. Developed dashboards for business teams enabling strategic planning and saving operational time : metrics-based dashboard enabled business leaders to track, pace and plan for their top priorities

Jan 2018 – Jan 2019 · 1 yr

• 1. Increased client engagement through personalized recommendations
• Created content recommendation models to surface relevant materials, advancing client engagement.
• 2. Extracted insights & drove automation to enable more effective engagement strategies using NLP
• Generated Outside- in Analysis for clients from client annual reports & Automated the processing of annual reports through NLP enabling unique insights & significantly reducing manual analysis time
• Developed an API to map client feedback to business initiatives using NLP
• Created a classification system to segment client testimonials using Random Forest, enabling targeted business actions.
• Executed Large-Scale Data Analysis on Gartner’s data lake, enabling robust insights generation using Hadoop and PySpark frameworks.
• Built CI/CD pipelines for automated daily job execution on refreshed data using Git, a CI/CD orchestration tool Bamboo and build/test tools
• 3. Team Development:
• Led python trainings for analytics and operations team to enable report automations and drive effecienty