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I am Nandini Tarigopula, an AI/ML engineer with over 4.5 years of experience designing, developing, and deploying end-to-end machine learning and data science solutions across healthcare and enterprise domains. I bring deep expertise in NLP with BERT, spaCy, and HuggingFace Transformers, predictive modeling, and time-series forecasting, turning complex data into actionable insights. I am passionate about building explainable, responsible, and high-performing AI systems that drive innovation in health care intelligence and automation.…I am Nandini Tarigopula, an AI/ML engineer with over 4.5 years of experience designing, developing, and deploying end-to-end machine learning and data science solutions across healthcare and enterprise domains. I bring deep expertise in NLP with BERT, spaCy, and HuggingFace Transformers, predictive modeling, and time-series forecasting, turning complex data into actionable insights. I am passionate about building explainable, responsible, and high-performing AI systems that drive innovation in health care intelligence and automation.

Nandini Tarigopula

Data Scientist, AI Engineer, Full Stack Developer, +4

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I am Nandini Tarigopula, an AI/ML engineer with over 4.5 years of experience designing, developing, and deploying end-to-end machine learning and data science solutions across healthcare and enterprise domains. I bring deep expertise in NLP with BERT, spaCy, and HuggingFace Transformers, predictive modeling, and time-series forecasting, turning complex data into actionable insights. I am passionate about building explainable, responsible, and high-performing AI systems that drive innovation in health care intelligence and automation.…I am Nandini Tarigopula, an AI/ML engineer with over 4.5 years of experience designing, developing, and deploying end-to-end machine learning and data science solutions across healthcare and enterprise domains. I bring deep expertise in NLP with BERT, spaCy, and HuggingFace Transformers, predictive modeling, and time-series forecasting, turning complex data into actionable insights. I am passionate about building explainable, responsible, and high-performing AI systems that drive innovation in health care intelligence and automation.

Available to hire

I am Nandini Tarigopula, an AI/ML engineer with over 4.5 years of experience designing, developing, and deploying end-to-end machine learning and data science solutions across healthcare and enterprise domains. I bring deep expertise in NLP with BERT, spaCy, and HuggingFace Transformers, predictive modeling, and time-series forecasting, turning complex data into actionable insights.

I am passionate about building explainable, responsible, and high-performing AI systems that drive innovation in health care intelligence and automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Engineer at DXC Technology

May 1, 2022 - February 28, 2023

Developed SQL queries in PostgreSQL & MySQL to extract and clean multi-source client data for insurance reporting. Built ETL pipelines to load data into Snowflake, automating workflows and accelerating analytics readiness. Created data models in Databricks notebooks to organize datasets for self-serve insights. Coordinated with ML/Ops to deploy MLflow-tracked models on AWS SageMaker, integrating SHAP for interpretable, compliant decision support in healthcare.

Data Engineer at VMware

December 1, 2019 - November 1, 2021

Wrote SQL queries in Oracle to aggregate vSphere performance data and generated weekly capacity reports. Built Python scripts to parse ESXi logs, loading structured metrics into PostgreSQL for daily health checks. Configured Apache Airflow DAGs to schedule data pulls, enabling timely ingestion into Hive dashboards. Designed Impala star schemas to merge VM inventory with licensing data for Tableau dashboards; performed EDA with Pandas/Matplotlib to identify CPU/memory trends.

Data Scientist

December 1, 2023 - March 1, 2025

Developed predictive models with PySpark MLlib and Scikit-learn on Databricks Lakehouse, improving patient risk stratification by 32%. Engineered NLP pipelines with spaCy and HuggingFace embeddings to analyze unstructured EHR notes and call transcripts, achieving high accuracy in intent and sentiment detection. Implemented AWS Glue + Airflow workflows for real-time healthcare insights; performed feature engineering with Python and SQL. Built ensemble models (LightGBM/XGBoost) for adherence and dashboards in Power BI/Looker.