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I am a Data Scientist with over 5 years of experience in building scalable machine learning models, automating data pipelines, and delivering actionable insights across the insurance, healthcare, and cloud domains. I have a strong proficiency in Python, AWS, Apache Airflow, and modern NLP frameworks like BERT and Transformers. My work has consistently improved model accuracy, reduced operational costs, and enhanced executive decision-making through data-driven strategies and interactive dashboards. I am passionate about leveraging advanced machine learning techniques and cloud technologies to solve complex business problems. I enjoy collaborating with cross-functional teams to embed ML-driven analytics into enterprise applications, resulting in significant cost savings and operational efficiency improvements. Transparency and compliance in AI models are also key priorities in my work, ensuring audit readiness and regulatory adherence.…I am a Data Scientist with over 5 years of experience in building scalable machine learning models, automating data pipelines, and delivering actionable insights across the insurance, healthcare, and cloud domains. I have a strong proficiency in Python, AWS, Apache Airflow, and modern NLP frameworks like BERT and Transformers. My work has consistently improved model accuracy, reduced operational costs, and enhanced executive decision-making through data-driven strategies and interactive dashboards. I am passionate about leveraging advanced machine learning techniques and cloud technologies to solve complex business problems. I enjoy collaborating with cross-functional teams to embed ML-driven analytics into enterprise applications, resulting in significant cost savings and operational efficiency improvements. Transparency and compliance in AI models are also key priorities in my work, ensuring audit readiness and regulatory adherence.

Naga Vamsi Sandeep Narayanam

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I am a Data Scientist with over 5 years of experience in building scalable machine learning models, automating data pipelines, and delivering actionable insights across the insurance, healthcare, and cloud domains. I have a strong proficiency in Python, AWS, Apache Airflow, and modern NLP frameworks like BERT and Transformers. My work has consistently improved model accuracy, reduced operational costs, and enhanced executive decision-making through data-driven strategies and interactive dashboards. I am passionate about leveraging advanced machine learning techniques and cloud technologies to solve complex business problems. I enjoy collaborating with cross-functional teams to embed ML-driven analytics into enterprise applications, resulting in significant cost savings and operational efficiency improvements. Transparency and compliance in AI models are also key priorities in my work, ensuring audit readiness and regulatory adherence.…I am a Data Scientist with over 5 years of experience in building scalable machine learning models, automating data pipelines, and delivering actionable insights across the insurance, healthcare, and cloud domains. I have a strong proficiency in Python, AWS, Apache Airflow, and modern NLP frameworks like BERT and Transformers. My work has consistently improved model accuracy, reduced operational costs, and enhanced executive decision-making through data-driven strategies and interactive dashboards. I am passionate about leveraging advanced machine learning techniques and cloud technologies to solve complex business problems. I enjoy collaborating with cross-functional teams to embed ML-driven analytics into enterprise applications, resulting in significant cost savings and operational efficiency improvements. Transparency and compliance in AI models are also key priorities in my work, ensuring audit readiness and regulatory adherence.

Available to hire

I am a Data Scientist with over 5 years of experience in building scalable machine learning models, automating data pipelines, and delivering actionable insights across the insurance, healthcare, and cloud domains. I have a strong proficiency in Python, AWS, Apache Airflow, and modern NLP frameworks like BERT and Transformers. My work has consistently improved model accuracy, reduced operational costs, and enhanced executive decision-making through data-driven strategies and interactive dashboards.

I am passionate about leveraging advanced machine learning techniques and cloud technologies to solve complex business problems. I enjoy collaborating with cross-functional teams to embed ML-driven analytics into enterprise applications, resulting in significant cost savings and operational efficiency improvements. Transparency and compliance in AI models are also key priorities in my work, ensuring audit readiness and regulatory adherence.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist at Berkshire Hathaway

July 1, 2024 - Present

Architected and fine-tuned advanced machine learning models including XGBoost, Random Forest, and Gradient Boosting to forecast insurance claim severity, improving reserve allocation precision by 15%. Engineered fraud detection systems utilizing Isolation Forest and Deep Autoencoders, achieving 92% recall and lowering false positive rates by 18%. Applied advanced NLP techniques using BERT and Hugging Face Transformers to analyze claim descriptions, reducing manual review time by 25%. Orchestrated scalable ETL pipelines via Apache Airflow integrating Snowflake, AWS Redshift, and PostgreSQL, reducing data ingestion time by 40%. Deployed ML models to production with AWS SageMaker and associated services, enhancing deployment cycles by 30%. Designed executive dashboards that boosted data-driven decision making by 20%. Implemented SHAP and LIME explainability frameworks to ensure transparency and regulatory compliance.

Data Scientist at Hexaware Technologies

January 31, 2023 - August 5, 2025

Developed predictive models for identifying cloud infrastructure failures and billing anomalies across hybrid cloud environments, improving response times and reducing SLA violations. Automated ML pipelines with Apache Airflow and MLflow for reliable production uptime of 99%. Built Dockerized microservices with Flask and FastAPI for real-time anomaly detection systems, accelerating time-to-market. Leveraged AWS and Google BigQuery to manage data pipelines and inference, reducing operational costs by 20%. Created interactive dashboards using Grafana, Power BI, and Superset leading to a 25% reduction in invoice disputes. Collaborated with cross-functional teams to embed ML-driven cost analytics and forecasting into applications, achieving $1M annual cost savings.

Data Analyst at Experion Technologies

October 31, 2020 - August 5, 2025

Developed integrated dashboards for pharmaceutical distribution and loan monitoring using Excel, Power BI, and Tableau. Analyzed sales trends and repayment patterns to detect bottlenecks and predict customer defaults. Collaborated with cross-functional teams to define key operational and financial metrics. Streamlined data cleaning and integration to improve reporting accuracy and reduce manual work. Evaluated stock movement and seasonal demand cycles to assist predictive planning. Delivered actionable insights supporting executive decision-making and risk mitigation through interactive reports and visualizations.