Open to opportunities

Govinda Rai

@govindarai

Message

Data scientist and AI/ML engineer driving scalable, production-ready ML solutions.

United States

Message

What I'm looking for

I seek a senior ML/data role where I can build scalable cloud-native pipelines, lead model deployments, mentor teams, and work on impactful healthcare or financial use cases with strong data governance and collaborative culture.

I am a data scientist and AI/ML engineer with over eight years of experience delivering production-ready machine learning and big data solutions across banking and healthcare. I specialize in building scalable ETL/ELT pipelines, cloud-native deployments, and NLP/deep learning models to solve fraud detection, patient risk scoring, and document processing challenges.

My work has improved data processing efficiency by 30%, boosted model performance through advanced tuning and ensemble methods, and enhanced healthcare data accuracy and compliance by 20%. I routinely deploy models using AWS, Azure, Snowflake, Databricks, and containerized CI/CD workflows, while applying model explainability and monitoring best practices.

I collaborate closely with cross-functional teams, mentor peers, and implement governance for secure, HIPAA-compliant pipelines. I am passionate about modernizing legacy systems, automating feature engineering, and translating complex analytics into actionable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Five9

Jul 2022 - Present (3 years 2 months)

Developed alert prioritization and fraud detection models, increasing operational efficiency by 30% and achieving 95% accuracy for fraud detection; automated feature engineering and reduced model development turnaround by 40%.

Python Pyspark XGBoost SpaCy AWS OpenCV Model Monitoring MLFlow

Senior Data Engineer

Sallie Mae

Mar 2020 - Jun 2022 (2 years 3 months)

Migrated ETL/ELT pipelines to Spark, improving processing efficiency by 30% and enhancing HEDIS/Medicaid data accuracy by 20%; built dimensional models and ensured HIPAA-compliant data security.

Apache Spark Pyspark Hive SQL Snowflake ETL Data Modeling AWS HIPAA

Data Scientist & Big Data Engineer

Cotiviti

Jan 2018 - Feb 2020 (2 years 1 month)

Built and deployed ML/NLP models and end-to-end Spark pipelines for classification and clustering use cases, improving model accuracy and enabling scalable data processing and real-time analytics.

Spark Pyspark Python NLP GPT SpaCy AWS Azure Kafka Tableau & Model Tuning

Data Engineer

Navitus Health Solutions

May 2015 - Jan 2017 (1 year 8 months)

Developed predictive models and enterprise data solutions using Python and AWS, implemented SageMaker and Lambda workflows, and improved data retrieval and CI/CD for analytics pipelines.