I am an experienced Data Scientist with a decade of expertise in designing and deploying machine learning models, transforming complex datasets into actionable business insights, and using state-of-the-art technologies such as Azure, AWS, and GCP platforms. Passionate about advancing NLP and large language models, I have helped evolve chatbot capabilities and implemented large-scale solutions with cloud and container orchestration technologies. Throughout my career, I have collaborated with diverse teams to translate complex business needs into data science projects, automate machine learning pipelines, and create intuitive visualizations that drive strategic decision-making. With a commitment to data ethics and transparency, I continually work on model interpretability and measurable business impact through innovative experimentation and analytics.

Vinay

I am an experienced Data Scientist with a decade of expertise in designing and deploying machine learning models, transforming complex datasets into actionable business insights, and using state-of-the-art technologies such as Azure, AWS, and GCP platforms. Passionate about advancing NLP and large language models, I have helped evolve chatbot capabilities and implemented large-scale solutions with cloud and container orchestration technologies. Throughout my career, I have collaborated with diverse teams to translate complex business needs into data science projects, automate machine learning pipelines, and create intuitive visualizations that drive strategic decision-making. With a commitment to data ethics and transparency, I continually work on model interpretability and measurable business impact through innovative experimentation and analytics.

Available to hire

I am an experienced Data Scientist with a decade of expertise in designing and deploying machine learning models, transforming complex datasets into actionable business insights, and using state-of-the-art technologies such as Azure, AWS, and GCP platforms. Passionate about advancing NLP and large language models, I have helped evolve chatbot capabilities and implemented large-scale solutions with cloud and container orchestration technologies.

Throughout my career, I have collaborated with diverse teams to translate complex business needs into data science projects, automate machine learning pipelines, and create intuitive visualizations that drive strategic decision-making. With a commitment to data ethics and transparency, I continually work on model interpretability and measurable business impact through innovative experimentation and analytics.

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Work Experience

Senior Data Scientist at Centene Corporation
March 1, 2024 - Present
Led NLP strategy and roadmap for advancing telecom chatbot capabilities on Kore.ai platform, handling over a million monthly interactions. Designed conversational AI using LLM stacks in GCP and transitioned IVR architecture to generative AI-driven models for improved scalability and accuracy. Conducted extensive exploratory data analysis on large datasets, built real-time data visualizations, and implemented containerized model deployments with Docker and Kubernetes for efficient production use. Collaborated cross-functionally with UX, product, and engineering teams to optimize chatbot user flows and engagement through A/B testing and personalization. Mentored junior colleagues and managed incident handling, focusing on continuous improvement and performance monitoring with agile methodologies.
Senior Data Scientist at CapitalOne
February 29, 2024 - August 20, 2025
Developed NLP engines using Azure LUIS integrated with advanced language models to enhance prediction accuracy and chatbot performance. Collaborated on building multi-skill conversational AI assistants deployed across multi-channel interfaces for United Nations Peacekeeping Missions. Led SRE activities supporting high-scale AI chatbots processing millions of interactions monthly. Engineered intent/entity extraction from clickstream data leveraging Python and PyTorch Transformer architectures like BERT. Applied transfer learning and deep learning for custom AI models and implemented anomaly detection and personalized recommendation engines for financial transaction monitoring and product optimization. Developed Power BI dashboards for leadership and executed A/B testing to improve AI features.
Data Scientist at Vanguard
August 31, 2022 - August 20, 2025
Built and experimented with predictive ensemble models in GCP to forecast customer churn. Engaged with stakeholders to gather requirements and created interactive visualizations, dashboards, and reports to democratize data insights across business units. Conducted advanced causal impact analyses and built Bayesian hierarchical models to evaluate marketing effectiveness. Designed experimentation frameworks to standardize A/B/n testing practices and developed customer segmentation and LTV models to guide marketing strategies. Automated data quality checks and performed fairness audits with interpretability tools. Architected chatbot integrations with interactive web technologies and streamlined data extraction, transformation, and loading processes.
Data Scientist at American International Group
May 31, 2020 - August 20, 2025
Designed and developed data ingestion and integration pipelines in Hadoop environments, using Sqoop for incremental data loads. Provided SQL server support and developed complex stored procedures for premium and claims analysis. Built normalized databases and developed generative AI applications using Bedrock foundational models and Langchain framework. Led UN Data Governance initiatives and developed end-to-end ML pipelines using AWS SageMaker for customer segmentation and risk assessment models. Applied statistical testing and performed fairness and bias audits using R programming. Active participant in A/B testing and model interpretability practices.
Data Analyst at Hitachi Solutions India Pvt. Ltd.
September 30, 2017 - August 20, 2025
Developed responsive web components using React.js and Angular.js. Built management reporting dashboards for senior management and implemented end-to-end machine learning solutions for time-series KPIs and predictive analytics. Employed numerous time series models including Prophet and LSTM and performed exploratory data analysis with Python to uncover trends. Created optimized SQL queries and stored procedures for diverse database systems and used visualization tools like Tableau and Looker. Executed cohort analysis, A/B testing, clustering, and other statistical methodologies to support marketing and product decisions. Processed and analyzed large-scale datasets using PySpark for alarm data analytics.

Education

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Qualifications

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Industry Experience

Financial Services, Government, Software & Internet, Telecommunications, Professional Services