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Hi, I'm Imran Shaik, an AI/ML Engineer with over three years of experience developing machine learning and generative AI solutions in healthcare and life sciences. I specialize in building production-grade ML pipelines, predictive models, and NLP applications using Python, SQL, and various AI frameworks. I'm passionate about leveraging AI to drive value and improve outcomes, especially in healthcare settings. I enjoy collaborating with diverse teams including clinicians, data scientists, and compliance experts to deliver scalable and ethical AI systems. My experience spans cloud platforms like AWS, GCP, and Azure, and I take pride in communicating insights clearly through data visualization tools like Tableau and Power BI. I'm always eager to learn and apply innovative AI technologies to solve real-world problems.…Hi, I'm Imran Shaik, an AI/ML Engineer with over three years of experience developing machine learning and generative AI solutions in healthcare and life sciences. I specialize in building production-grade ML pipelines, predictive models, and NLP applications using Python, SQL, and various AI frameworks. I'm passionate about leveraging AI to drive value and improve outcomes, especially in healthcare settings. I enjoy collaborating with diverse teams including clinicians, data scientists, and compliance experts to deliver scalable and ethical AI systems. My experience spans cloud platforms like AWS, GCP, and Azure, and I take pride in communicating insights clearly through data visualization tools like Tableau and Power BI. I'm always eager to learn and apply innovative AI technologies to solve real-world problems.

Imran Shaik

AI Engineer, Data Scientist, Developer, +2

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Hi, I'm Imran Shaik, an AI/ML Engineer with over three years of experience developing machine learning and generative AI solutions in healthcare and life sciences. I specialize in building production-grade ML pipelines, predictive models, and NLP applications using Python, SQL, and various AI frameworks. I'm passionate about leveraging AI to drive value and improve outcomes, especially in healthcare settings. I enjoy collaborating with diverse teams including clinicians, data scientists, and compliance experts to deliver scalable and ethical AI systems. My experience spans cloud platforms like AWS, GCP, and Azure, and I take pride in communicating insights clearly through data visualization tools like Tableau and Power BI. I'm always eager to learn and apply innovative AI technologies to solve real-world problems.…Hi, I'm Imran Shaik, an AI/ML Engineer with over three years of experience developing machine learning and generative AI solutions in healthcare and life sciences. I specialize in building production-grade ML pipelines, predictive models, and NLP applications using Python, SQL, and various AI frameworks. I'm passionate about leveraging AI to drive value and improve outcomes, especially in healthcare settings. I enjoy collaborating with diverse teams including clinicians, data scientists, and compliance experts to deliver scalable and ethical AI systems. My experience spans cloud platforms like AWS, GCP, and Azure, and I take pride in communicating insights clearly through data visualization tools like Tableau and Power BI. I'm always eager to learn and apply innovative AI technologies to solve real-world problems.

Available to hire

Hi, I’m Imran Shaik, an AI/ML Engineer with over three years of experience developing machine learning and generative AI solutions in healthcare and life sciences. I specialize in building production-grade ML pipelines, predictive models, and NLP applications using Python, SQL, and various AI frameworks. I’m passionate about leveraging AI to drive value and improve outcomes, especially in healthcare settings.

I enjoy collaborating with diverse teams including clinicians, data scientists, and compliance experts to deliver scalable and ethical AI systems. My experience spans cloud platforms like AWS, GCP, and Azure, and I take pride in communicating insights clearly through data visualization tools like Tableau and Power BI. I’m always eager to learn and apply innovative AI technologies to solve real-world problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at CVS Health

August 1, 2024 - Present

Developed and deployed predictive models to forecast medication adherence, improving outreach targeting by 23%. Led the design and implementation of a generative AI chatbot using OpenAI APIs and RAG architecture that reduced manual patient support workload by 38%. Built scalable ETL pipelines processing over 15 million pharmacy records daily. Fine-tuned open-source large language models customized for healthcare documentation, and developed real-time dashboards for patient risk visualization to support care managers. Integrated AI models into production environments using cloud-native tools like AWS SageMaker, Docker, and Kubernetes while ensuring compliance with HIPAA standards. Led A/B testing and statistical validation of interventions using SQL and statistical software. Collaborated closely with MLOps and data governance teams to maintain ethical and compliant AI deployments.

Data Scientist at IQVIA

July 31, 2022 - July 18, 2025

Designed and automated large-scale data pipelines for EHR and claims data, reducing data preparation time by 40%. Built predictive models using XGBoost to improve patient stratification accuracy by 17% for clinical trial targeting. Conducted exploratory data analysis and advanced statistical modeling to provide actionable insights on treatment adherence and adverse events. Created Tableau and Power BI dashboards to enhance client reporting efficiency by 50%. Led hypothesis-driven A/B testing to improve patient engagement outcomes, working within Agile teams and ensuring compliance with FDA and HIPAA regulations. Collaborated with clinicians, biostatisticians, and regulatory analysts for clinical trial ML solution delivery.

AI/ML Engineer at CVS Health

August 1, 2024 - Present

Developed and deployed predictive models using Python, Scikit-learn, and XGBoost to forecast medication adherence rates, improving outreach targeting by 23%. Led design of an end-to-end Generative AI solution using OpenAI API and RAG architecture for automating patient support chat, reducing manual support volume by 38%. Built scalable ETL pipelines using PySpark and Apache Airflow to process 15M+ pharmacy records daily for downstream ML and BI applications. Fine-tuned open-source LLMs (LoRA, QLoRA) on CVS-specific healthcare documentation to enable intelligent summarization and document retrieval using FAISS and Pinecone. Designed real-time dashboards in Power BI and Tableau to visualize patient risk scores and adherence trends, enabling data-driven intervention planning by care managers. Integrated models into production using AWS SageMaker, Docker, and Kubernetes, collaborating with MLOps teams to ensure robust CI/CD and model monitoring. Conducted A/B testing and hypothesis testing

Data Scientist at IQVIA

July 31, 2022 - July 18, 2025

Developed end-to-end data pipelines using PySpark and Airflow to automate ingestion, transformation, and analysis of large-scale EHR and claims data (100M+ records), reducing data preparation time by 40%. Built predictive models using Python and XGBoost to forecast patient response and therapy drop-off across clinical trial datasets, resulting in a 17% improvement in patient stratification accuracy for trial targeting. Performed exploratory data analysis and advanced statistical modeling in R and SQL to uncover trends in treatment adherence, adverse event rates, and comorbidity impacts, contributing to insights used by pharma clients for Phase IV study planning. Designed and deployed Tableau dashboards and Power BI reports to visualize disease progression trends, increasing client reporting efficiency by 50%. Led A/B testing and hypothesis-driven experimentation to evaluate patient engagement strategies. Collaborated with cross-functional teams including clinicians, biostatisticians, a