Hi, I am Mushruf Vinay with almost 6 years of extensive experience in Data Analytics, Artificial Intelligence, Machine Learning, and Data Engineering. I specialize in developing AI-driven solutions, predictive modeling, and data visualizations using tools like Python, R, and Tableau. My expertise also includes deploying AI/ML models at scale on cloud platforms including AWS and Azure. Throughout my career, I have worked on diverse projects ranging from inventory forecasting to insurance charge prediction, and built advanced AI applications such as NLP solutions, generative AI models, and computer vision systems. I am passionate about integrating explainability and transparency in AI and enjoy collaborating with stakeholders to translate business challenges into technical solutions.

Mushruf Vinay

Hi, I am Mushruf Vinay with almost 6 years of extensive experience in Data Analytics, Artificial Intelligence, Machine Learning, and Data Engineering. I specialize in developing AI-driven solutions, predictive modeling, and data visualizations using tools like Python, R, and Tableau. My expertise also includes deploying AI/ML models at scale on cloud platforms including AWS and Azure. Throughout my career, I have worked on diverse projects ranging from inventory forecasting to insurance charge prediction, and built advanced AI applications such as NLP solutions, generative AI models, and computer vision systems. I am passionate about integrating explainability and transparency in AI and enjoy collaborating with stakeholders to translate business challenges into technical solutions.

Available to hire

Hi, I am Mushruf Vinay with almost 6 years of extensive experience in Data Analytics, Artificial Intelligence, Machine Learning, and Data Engineering. I specialize in developing AI-driven solutions, predictive modeling, and data visualizations using tools like Python, R, and Tableau. My expertise also includes deploying AI/ML models at scale on cloud platforms including AWS and Azure.

Throughout my career, I have worked on diverse projects ranging from inventory forecasting to insurance charge prediction, and built advanced AI applications such as NLP solutions, generative AI models, and computer vision systems. I am passionate about integrating explainability and transparency in AI and enjoy collaborating with stakeholders to translate business challenges into technical solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Machine Learning/ Artificial Intelligence Engineer at TIAA, Charlotte, NC
March 1, 2024 - Present
Led the end-to-end design and implementation of a Proof of Concept for inventory purchase forecasting to reduce food wastage using ML on cloud platforms. Engaged with business stakeholders to identify ML solutions, developed and deployed AI/ML models in production for predictive analytics, NLP, and computer vision. Utilized generative AI for text and image synthesis, implemented pipelines integrating Hugging Face Transformers, and performed hyperparameter tuning for model optimization. Employed Azure and AWS AI services including cognitive microservices for advanced analytics and computer vision use cases. Delivered predictive solutions for student retention and insurance charge prediction with model explainability using SHAP and LIME. Managed cloud deployments with Docker and Kubernetes and created business dashboards and reports illustrating AI impact.
Machine Learning/ Artificial Intelligence Engineer at Cardinal Health, Dublin, OH
February 29, 2024 - August 26, 2025
Contributed to the creation of an Enterprise Data Lake on Azure by consolidating data from GCP and AWS. Developed and productionized ML and NLP models in microservices architectures for batch scoring and real-time API prediction serving. Built dynamic data workflows with Python and Data flow, deployed ML pipelines using Docker and Kubeflow, and managed environments via IAM and Terraform. Led Agile Scrum events as Scrum Master, designed optimized data schemes for ML models, and addressed data imbalance with SMOTE. Applied diverse classification models including Logistic Regression, Decision Trees, and XGBoost. Created KPI reporting architectures using Google Data Studio and Tableau and conducted time series modeling for customer segmentation analysis.
Data Scientist at American Express, Phoenix, AZ
July 31, 2023 - August 26, 2025
Built predictive, simulation, and statistical models using Python and generated analytical reports through advanced SQL queries. Developed and maintained complex database objects in Microsoft SQL Server, executed data cleaning and feature engineering in Python, and leveraged NLP and Deep Learning methods including ANN and CNN models. Conducted data manipulation, normalization, and predictive modeling to improve accuracy and efficiency. Participated in all stages of data mining and produced dashboards with Tableau for insights. Managed cloud monitoring and notifications for AWS EC2 resources. Applied advanced statistics including ANOVA and hypothesis testing in data analysis workflows.
Data Engineer at Robinhood, Menlo Park, CA
February 28, 2022 - August 26, 2025
Installed and configured Hadoop ecosystem components including Hive, Pig, Sqoop, Flume, and Oozie. Developed Spark applications for ETL and analytics on customer usage, authored Databricks notebooks in Scala and Python accessing Delta Lakes. Designed and implemented end-to-end analytics and automation systems integrating R, Tableau, and Power BI visualizations. Processed streaming data with Spark, managed data export to relational databases for BI reporting, and converted queries across Hive, Spark RDDs, and SQL. Leveraged Azure Data Lake Analytics and HDInsight and implemented Apache Drill for hybrid SQL/NoSQL joins. Developed dashboards and reports to support marketing strategies and performed database development in Oracle PL/SQL and shell scripting.

Education

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Qualifications

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Industry Experience

Financial Services, Software & Internet, Healthcare, Education, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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