Harsha Vardhan Reddy Boosam Email & Phone Number

New Jersey, United States

• Developed and deployed demand forecasting models with Python and TensorFlow to enhance production efficiency, utilized AWS Glue for seamless data preparation and AWS Lambda for real-time scaling and predictions, and.
• Leveraged Power BI for interactive dashboards, real-time data visualization, and custom reporting integrating data with the system to enable data-driven decision-making and enhance operational efficiency.
• Engineered CI/CD pipelines with AWS CodePipeline and AWS CodeBuild to automate deployments, utilized Git for version control and integrated with Snowflake and Redshift for advanced data warehousing and visualization.
• Analyzed customer purchasing behavior with Power BI and SQL to create targeted marketing strategies, improving retention by 12%, and developed a demand prediction model using AWS SageMaker, boosting inventory turnover.

• Leveraged statistical methods and tools, including regression analysis, clustering, and decision trees, to conduct predictive modeling and forecasting of financial outcomes, achieving 85% accuracy in predicting future.
• Implemented Python-based automation solution for Excel workflow, reducing workload by 70% and enabling efficient analysis through streamlined data extraction, transformation, and loading (ETL).
• Spearheaded a 30% performance improvement by leveraging UNIX shell scripts for task handling, optimizing background processes, and contributing to efficient SQL and PL/SQL performance tuning.
• Implemented automated data extraction using Python Scripts, boosting business analyst productivity by 20%. This allowed seamless access to tools like spreadsheets and XML files, facilitating better data-driven.

Sugarland, Texas

• Led the development of RESTful APIs for dashboard using Java, Spring Boot, Hibernate. Adopted a Test-Driven Development (TDD) approach in an agile software development cycle, focusing on user stories and systems.
• Managed and deployed automation tools on VMs in GCP and EC2 in AWS, improving accessibility and reducing downtime by ~14%, while ensuring system monitoring and troubleshooting with Grafana and Prometheus.
• Assisted in developing ETL pipelines on Google Cloud Platform using tools like Google BigQuery, Dataflow, and Cloud Storage for data ingestion and processing.

Plano, Texas, United States

• Maintained data pipeline up-time of 99.8% while ingesting streaming and transactional data across 8 different primary data sources using Spark, Redshift, S3, and Python to create data views to be used in BI tools like.
• Harnessed GitHub and JIRA for data workflow management, ensuring seamless collaboration, accurate version control, and timely project completion through Agile methodologies, enhancing sprint productivity by 20%.

Master Of Science - Ms, Information Technology, 3.90

Bachelor Of Engineering - Be, Information Technology

Intermediate Education, Maths Physics Chemistry(Mpc)

High School Diploma