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Priyanka Kamath

@priyankakamath

I turn healthcare and pharma requirements into data pipelines, machine learning models, dashboards, and actionable client recommendations.

India

Message

What I'm looking for

I’m looking for an analytics consulting role where I can combine data engineering, machine learning, and business advisory to help clients turn requirements into practical, data-driven solutions.

At Cognizant, I serve as the primary link between AIA clients and delivery teams, turning business requirements into structured analysis, data onboarding, ETL pipelines, and actionable recommendations. I also build Power BI dashboards that help non-technical stakeholders self-serve insights.

I’ve applied SVM and K-means to identify suspicious transactions, supporting risk and compliance objectives, and automated a recurring manual reporting process to free time for higher-value analysis.

Previously at Harman Connected Services, I progressed from Associate Software Engineer to Software Engineer while working across QA, machine learning, and data engineering. I built Random Forest and SVM models for healthcare use cases, developed PySpark and Kafka pipelines into AWS Cloud, and validated platform reliability through manual and load testing.

Experience

Work history, roles, and key accomplishments

Current

Associate Projects

Current

Cognizant

Jun 2025 - Present (1 year 2 months)

Served as primary point of contact between client and delivery team, gathering business requirements and translating them into structured data analysis and actionable recommendations. Advised clients on data-driven improvements and led end-to-end data onboarding, including ETL pipeline development and Power BI dashboard design.

PySpark Python SQL ETL Power BI SVM K Means Requirements Gathering Stakeholder Management Client Delivery Agile Scrum Jira

Software Engineer

Harman Connected Services

Sep 2021 - Apr 2024 (2 years 7 months)

Progressed from Associate Software Engineer to Software Engineer, taking on expanded responsibility across QA, ML, and data engineering. Conducted manual and load testing, built ML models using Random Forest and SVM, and developed data pipelines using PySpark and Kafka for AWS Cloud.