Ajay Kumar
Data Scientist with 6+ years of experience designing, deploying, and scaling machine learning solutions across healthcare, retail, and enterprise analytics
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About
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.
Experience
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.
Education
Master of Science - Advanced Data Analytics - University of North Texas (2023-01 - 2024-05)
Bachelor of Engineering - Mechanical Engineering - Raghu Institute of Technology
