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I am a results-driven AI/ML Python Engineer with 3+ years of experience designing and deploying end-to-end data-driven applications, from predictive model development to full-stack user interfaces. I have built scalable ETL pipelines, data warehouses, and real-time reporting systems using Python, Spark, Hadoop, SQL, and AWS, delivering measurable improvements in accuracy and efficiency. I excel at transforming business questions into data-driven solutions, building secure RESTful APIs with Flask, developing interactive dashboards with Tableau, and collaborating in Agile teams to deliver robust, scalable software across healthcare and financial services. My work spans model development, validation, and deployment, NLP-driven insights, and front-end interfaces that enable stakeholders to interact with model predictions.…I am a results-driven AI/ML Python Engineer with 3+ years of experience designing and deploying end-to-end data-driven applications, from predictive model development to full-stack user interfaces. I have built scalable ETL pipelines, data warehouses, and real-time reporting systems using Python, Spark, Hadoop, SQL, and AWS, delivering measurable improvements in accuracy and efficiency. I excel at transforming business questions into data-driven solutions, building secure RESTful APIs with Flask, developing interactive dashboards with Tableau, and collaborating in Agile teams to deliver robust, scalable software across healthcare and financial services. My work spans model development, validation, and deployment, NLP-driven insights, and front-end interfaces that enable stakeholders to interact with model predictions.

Betha Shanmukha Satyadev

Full Stack Developer, Data Scientist, AI Developer, +2

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I am a results-driven AI/ML Python Engineer with 3+ years of experience designing and deploying end-to-end data-driven applications, from predictive model development to full-stack user interfaces. I have built scalable ETL pipelines, data warehouses, and real-time reporting systems using Python, Spark, Hadoop, SQL, and AWS, delivering measurable improvements in accuracy and efficiency. I excel at transforming business questions into data-driven solutions, building secure RESTful APIs with Flask, developing interactive dashboards with Tableau, and collaborating in Agile teams to deliver robust, scalable software across healthcare and financial services. My work spans model development, validation, and deployment, NLP-driven insights, and front-end interfaces that enable stakeholders to interact with model predictions.…I am a results-driven AI/ML Python Engineer with 3+ years of experience designing and deploying end-to-end data-driven applications, from predictive model development to full-stack user interfaces. I have built scalable ETL pipelines, data warehouses, and real-time reporting systems using Python, Spark, Hadoop, SQL, and AWS, delivering measurable improvements in accuracy and efficiency. I excel at transforming business questions into data-driven solutions, building secure RESTful APIs with Flask, developing interactive dashboards with Tableau, and collaborating in Agile teams to deliver robust, scalable software across healthcare and financial services. My work spans model development, validation, and deployment, NLP-driven insights, and front-end interfaces that enable stakeholders to interact with model predictions.

Available to hire

I am a results-driven AI/ML Python Engineer with 3+ years of experience designing and deploying end-to-end data-driven applications, from predictive model development to full-stack user interfaces. I have built scalable ETL pipelines, data warehouses, and real-time reporting systems using Python, Spark, Hadoop, SQL, and AWS, delivering measurable improvements in accuracy and efficiency.

I excel at transforming business questions into data-driven solutions, building secure RESTful APIs with Flask, developing interactive dashboards with Tableau, and collaborating in Agile teams to deliver robust, scalable software across healthcare and financial services. My work spans model development, validation, and deployment, NLP-driven insights, and front-end interfaces that enable stakeholders to interact with model predictions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Python Engineer at UnitedHealth Group (UHG)

June 1, 2025 - October 15, 2025

Engineered and deployed machine learning classification models that improved fraud detection accuracy by 15%, leading to $500K+ in annual cost savings. Built secure RESTful APIs using Flask to serve real-time predictions, integrating backend models with front-end applications. Designed scalable data pipelines in AWS and automated ETL workflows with PySpark, Pandas, and Spark SQL, reducing data processing time by 40%. Implemented NLP models to extract insights from patient/provider records, streamlining claims validation processes. Automated model retraining pipelines in AWS Cloud using Python scripts, ensuring real-time updates with new incoming healthcare datasets. Pioneered a data validation framework across enterprise-wide healthcare projects, ensuring data integrity and quality. Collaborated with senior leadership to translate business questions into data-driven solutions, designing Tableau dashboards for critical healthcare KPIs. Operated within Agile methodologies, reducing proje

Python Developer at HCL Technologies

September 1, 2023 - October 15, 2025

Built and deployed machine learning models for customer churn and fraud detection, reducing potential financial losses by 10%. Developed and maintained REST APIs using Django to facilitate seamless communication between front-end applications and ML models. Created dynamic dashboards using HTML, CSS, and jQuery to display model performance metrics and provide intuitive user interfaces. Managed the end-to-end model lifecycle, including data collection, cleaning, transformation, feature engineering, validation, and gap analysis. Streamlined ETL processes with Teradata utilities, improving data accessibility for business intelligence teams. Implemented NLP-based classification and text mining workflows (NLTK, scikit-learn) to categorize unstructured client text, improving content management efficiency. Delivered OLAP cubes, dashboards, and scorecards using Tableau, Business Objects, and Power BI. Developed Python scripts in AWS Cloud to automate data ingestion and classification pipelines