Ajay Kumar

Data Scientist with 6+ years of experience designing, deploying, and scaling machine learning solutions across healthcare, retail, and enterprise analytics. Experienced in predictive modeling, NLP, time-series forecasting, and production-grade MLOps. Skilled at translating complex business problems into scalable, explainable, and data-driven solutions in regulated environments (HIPAA/PII). Strong background in model lifecycle management, stakeholder collaboration, and data engineering pipelines.

Data Scientist - CVS Health - USA

(2024-06)

• Designed and implemented predictive models for customer care automation, risk prediction, and operational analytics in healthcare.
• Conducted exploratory data analysis, feature engineering, and statistical modeling to support business decision-making.
• Built dashboards and reports in Power BI and Tableau to visualize key metrics, operational impact, and client-facing insights.
• Developed end-to-end data pipelines, integrating datasets from multiple sources for scalable analytics and client reporting.
• Partnered with internal clients and business stakeholders to understand requirements, translate them into analytical solutions, and deliver actionable recommendations.
• Applied LLM-based NLP techniques (BERT, RoBERTa) for select text classification and routing use cases to support client workflows.
• Communicated results and insights to clients and senior leadership, ensuring alignment with strategic and operational objectives.

Data Scientist - Hexaware Technologies - India

(2019-06 - 2022-12)

• Conducted exploratory data analysis, feature engineering, and data validation for retail and logistics client datasets.
• Built regression, classification, clustering, and time-series forecasting models (ARIMA, Prophet) to optimize client operations and improve business outcomes.
• Developed NLP solutions including text classification and intent detection using SpaCy and transformer-based models for client-specific applications.
• Created automated ETL pipelines with Airflow and Spark, integrating data into Snowflake and Redshift to support client reporting and analytics needs.
• Containerized ML workloads using Docker and deployed via Kubernetes in production environments for enterprise clients.
• Partnered closely with clients and internal business teams to understand requirements, translate them into actionable insights, and deliver dashboards and reports.
• Communicated analytical results and recommendations to client stakeholders, helping guide data-driven business decisions.

Analyst (Data & Business Analytics) - Nexova - India

(2018-05 - 2019-05)

• Collected, cleansed, and prepared structured datasets from client CRM and transactional systems.
• Performed exploratory data analysis to identify trends, anomalies, and data quality issues for client operations.
• Built descriptive dashboards in Power BI to track KPIs and deliver insights to clients and internal stakeholders.
• Automated reporting processes using Python (Pandas, NumPy), reducing manual effort and improving timeliness of client reporting.
• Collaborated with clients to understand reporting needs and ensure deliverables aligned with business objectives.

Master of Science - Advanced Data Analytics - University of North Texas (2023-01 - 2024-05)

Bachelor of Engineering - Mechanical Engineering - Raghu Institute of Technology