Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Varsha Reddy Madireddy, a data analytics and AI engineer with 4+ years of experience delivering end-to-end data products across diverse domains. I specialize in turning raw data into actionable insights, building scalable data pipelines with Python, SQL, Spark, Airflow, and dbt, and deploying ML models for classification, forecasting, and anomaly detection to drive decision-making and operational efficiency. I have hands-on experience with Generative AI and LLM-based solutions, including prompt engineering and retrieval-augmented generation (RAG) to automate knowledge retrieval across large unstructured datasets. I enjoy collaborating with cross-functional teams to translate business needs into robust technical solutions and am passionate about data storytelling through dashboards in Power BI and Tableau, cloud deployment, and ML Ops. I stay curious about emerging AI/ML trends and continuously seek opportunities to optimize analytics workflows and accelerate impact through scalable analytics infrastructure.…I am Varsha Reddy Madireddy, a data analytics and AI engineer with 4+ years of experience delivering end-to-end data products across diverse domains. I specialize in turning raw data into actionable insights, building scalable data pipelines with Python, SQL, Spark, Airflow, and dbt, and deploying ML models for classification, forecasting, and anomaly detection to drive decision-making and operational efficiency. I have hands-on experience with Generative AI and LLM-based solutions, including prompt engineering and retrieval-augmented generation (RAG) to automate knowledge retrieval across large unstructured datasets. I enjoy collaborating with cross-functional teams to translate business needs into robust technical solutions and am passionate about data storytelling through dashboards in Power BI and Tableau, cloud deployment, and ML Ops. I stay curious about emerging AI/ML trends and continuously seek opportunities to optimize analytics workflows and accelerate impact through scalable analytics infrastructure.

Varsha Reddy Madireddy

Data Analyst, AI Engineer, Data Scientist, +2





I am Varsha Reddy Madireddy, a data analytics and AI engineer with 4+ years of experience delivering end-to-end data products across diverse domains. I specialize in turning raw data into actionable insights, building scalable data pipelines with Python, SQL, Spark, Airflow, and dbt, and deploying ML models for classification, forecasting, and anomaly detection to drive decision-making and operational efficiency. I have hands-on experience with Generative AI and LLM-based solutions, including prompt engineering and retrieval-augmented generation (RAG) to automate knowledge retrieval across large unstructured datasets. I enjoy collaborating with cross-functional teams to translate business needs into robust technical solutions and am passionate about data storytelling through dashboards in Power BI and Tableau, cloud deployment, and ML Ops. I stay curious about emerging AI/ML trends and continuously seek opportunities to optimize analytics workflows and accelerate impact through scalable analytics infrastructure.…I am Varsha Reddy Madireddy, a data analytics and AI engineer with 4+ years of experience delivering end-to-end data products across diverse domains. I specialize in turning raw data into actionable insights, building scalable data pipelines with Python, SQL, Spark, Airflow, and dbt, and deploying ML models for classification, forecasting, and anomaly detection to drive decision-making and operational efficiency. I have hands-on experience with Generative AI and LLM-based solutions, including prompt engineering and retrieval-augmented generation (RAG) to automate knowledge retrieval across large unstructured datasets. I enjoy collaborating with cross-functional teams to translate business needs into robust technical solutions and am passionate about data storytelling through dashboards in Power BI and Tableau, cloud deployment, and ML Ops. I stay curious about emerging AI/ML trends and continuously seek opportunities to optimize analytics workflows and accelerate impact through scalable analytics infrastructure.

Available to hire

I am Varsha Reddy Madireddy, a data analytics and AI engineer with 4+ years of experience delivering end-to-end data products across diverse domains. I specialize in turning raw data into actionable insights, building scalable data pipelines with Python, SQL, Spark, Airflow, and dbt, and deploying ML models for classification, forecasting, and anomaly detection to drive decision-making and operational efficiency. I have hands-on experience with Generative AI and LLM-based solutions, including prompt engineering and retrieval-augmented generation (RAG) to automate knowledge retrieval across large unstructured datasets.

I enjoy collaborating with cross-functional teams to translate business needs into robust technical solutions and am passionate about data storytelling through dashboards in Power BI and Tableau, cloud deployment, and ML Ops. I stay curious about emerging AI/ML trends and continuously seek opportunities to optimize analytics workflows and accelerate impact through scalable analytics infrastructure.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Analyst / AI Engineer at Morgan Stanley

August 1, 2024 - Present

Architected and implemented end-to-end machine learning pipelines, integrating data ingestion, preprocessing, feature engineering, model training, validation, and deployment to enable scalable predictive analytics. Designed and deployed enterprise LLM-based solutions using Retrieval-Augmented Generation (RAG) with vector databases and prompt engineering to automate knowledge retrieval across large unstructured datasets. Engineered high-performance data pipelines with Apache Spark and Apache Airflow to orchestrate transformations on large-scale data while ensuring data integrity and fault tolerance. Optimized complex SQL queries and data warehouse schemas with indexing, partitioning, and refactoring to boost data retrieval speed and dashboard performance. Deployed models on AWS SageMaker with automated retraining, version control, and monitoring to sustain performance in production. Implemented robust MLOps using Docker, Kubernetes, and CI/CD pipelines for seamless deployment. Built int

Data Analyst / Machine Learning Engineer at Optum

January 1, 2023 - December 1, 2023

Developed and deployed machine learning models for classification, regression, and clustering, including advanced feature engineering and hyperparameter tuning to improve predictive accuracy. Performed statistical analyses and hypothesis testing to validate business drivers and inform decision making. Built robust ETL pipelines with Apache Airflow for reliable ingestion, transformation, and loading from multiple sources. Created interactive dashboards in Tableau and Power BI to provide real-time visibility into key metrics. Automated data processing and reporting via Python and SQL scripts, reducing manual workload. Conducted customer churn analysis and predictive modeling to drive targeted retention strategies. Optimized data processing on Snowflake and Google BigQuery, improving query performance and reducing costs. Developed time-series forecasting models to predict demand and guide resource planning. Collaborated with stakeholders to define KPIs and align analytics initiatives with

Data Analyst at Aakruti Software Solutions Pvt Ltd

September 1, 2021 - December 1, 2022

Performed data extraction, transformation, and analysis using SQL and Python to support reporting and data-driven decision-making. Built interactive dashboards with Power BI to track key metrics and performance indicators. Automated reporting workflows and data processing to improve efficiency. Conducted EDA to identify trends and anomalies, supporting operational improvements. Optimized SQL queries and designed relational schemas for scalable data storage. Assisted in developing machine learning models for predictive analytics and supported data migrations. Collaborated with stakeholders to gather requirements and translate them into analytical solutions. Participated in Agile sprints and documented data pipelines and workflows.