Suhas B Email & Phone Number

Alpharetta, Georgia, United States

• Engineered a centralized data lake and robust ETL pipelines using Azure services, integrating diverse data sources for risk analysis and decision-making.
• Developed predictive analytics models and machine learning solutions (LSTM, GANs, CNNs) using R, PyTorch, and Power BI, improving claims forecasting and anomaly detection.
• Collaborated with cross-functional teams to deliver high-impact reports and insights through dynamic Power BI dashboards, optimizing risk management strategies… Show more
• Collaborated with cross-functional teams to deliver high-impact reports and insights through dynamic Power BI dashboards, optimizing risk management strategies and property protection. Show less

New Brunswick, New Jersey, United States

• Extracted, processed, and analyzed large-scale patient data using Azure Databricks and Python, identifying critical health trends and improving data quality across 15 sources with 99.5% accuracy.
• Developed and deployed predictive models with Azure ML, leveraging advanced machine learning techniques (TensorFlow, PyTorch) to optimize resource allocation and improve patient outcomes.
• Automated reporting and enhanced operational efficiency through Power BI dashboards, reducing reporting… Show more
• Automated reporting and enhanced operational efficiency through Power BI dashboards, reducing reporting time by 40% and driving actionable insights for better treatment protocols. Show less

Hyderabad, Telangana, India

• Optimized ETL processes and SQL query performance by 30%, managing large-scale retail data in AWS Glue, Amazon Athena, and Redshift to support analytical and reporting needs.
• Developed machine learning models (linear regression, classification, Random Forest) and deployed recommendation systems in Amazon SageMaker, achieving up to 90% accuracy in predicting retail metrics and customer.
• Automated reporting with Amazon QuickSight, reducing reporting time by 40% and improving… Show more
• Automated reporting with Amazon QuickSight, reducing reporting time by 40% and improving decision-making through advanced visualizations and data analysis from over 10 TB of retail data. Show less

Bengaluru, Karnataka, India

• Cleansed and processed large e-commerce datasets using SQL Server, Python, and Hadoop, creating a centralized Data Lake in HDFS to support Big Data analytics.
• Developed and deployed machine learning models (SVM, decision trees, neural networks) in Python and Spark ML, enhancing customer segmentation and predicting sales trends.
• Created interactive dashboards in Tableau and conducted sentiment analysis using social media data to drive insights on customer behavior and optimize… Show more
• Created interactive dashboards in Tableau and conducted sentiment analysis using social media data to drive insights on customer behavior and optimize marketing strategies. Show less