Aashvik Chennupati Email & Phone Number

Austin, TX, US

Santa Clara, California, United States

Santa Clara, California, United States

• Leveraged advanced data engineering and machine learning expertise to drive the innovative development of security analytics tool, significantly enhancing threat detection and cybersecurity insights, while also.
• Implemented an insider threat detection system using Gaussian model and AWS VPC Flow logs, improving detection accuracy by 30%.
• Engineered a job monitoring system in Databricks environment, enhancing job diagnostics by 40%.
• Leveraged Medallion architecture in order to logically organize the data in Databricks environment.
• Integrated a data warehousing solution using Snowflake, S3, DBT, Python, and SQL.
• Designed a multi-layered warehousing architecture using Type-2 SCD’s (Slowly Changing Dimensions) for historical analytics.

Sharing my interview experience and information on the tech stack I worked on.

Tempe, Arizona, United States

CSE-578 Data VisualizationServed as Graduate Services Assistant for the course Data Visualization(CSE-578), which involves conducting recitation hours, grading assignments and projects for 200+ students.

Tempe, Arizona, United States

CSE-511 Data Processing At ScaleServed as Graduate Services Assistant for the course Data Processing at Scale(CSE 511), which involves conducting recitation hours, grading assignments and projects for 200+ students.

• Employed data engineering techniques at Infosys for Microsoft projects, leveraging Microsoft's Enterprise Data Lake for data extraction and processing.

Redmond, Washington, United States

• Enhanced data processing with Azure Synapse Analytics and PySpark, increasing efficiency by 20% which involved optimizing Spark jobs for performance, ensuring seamless integration with Azure Synapse for real-time.
• Developed ETL workflows for data quality checks using Azure Data Factory, reducing manual validation by 30 hours per sprint.
• Initiated Power BI dashboards for cloud data transfer analysis, improving speed by 20% and cutting costs by 15%.
• Initiated and developed Power BI dashboards to project monthly cloud resource spending, leading to a 30% reduction in cloud resource usage and securing incremental budget approvals from the client by presenting.

• Spearheaded the integration of advanced machine learning-driven chatbots into B-AIM's fisheries portal, revolutionizing user interaction and bolstering business operations across the fisheries sector. Led digital.
• Spearheaded a team of 8 interns in integrating machine learning-driven chatbots into B-AIM's fisheries portal, enhancing user interaction and bolstering business operations.
• Directed Azure AI Bot-powered chat interface for aquariums, boosting user engagement by 40%.
• Optimized data processing and tokenization using Azure Synapse Analytics and Azure Functions, enhancing order status retrieval efficiency by 50%.
• Built an order tracking chatbot using Azure AI Bot Service, improving customer satisfaction by 25%.

• Engineered a cutting-edge facial recognition attendance system prototype at Invenio Business Solutions, leveraging advanced machine learning algorithms to modernize and replace the legacy fingerprint attendance.
• Architected a facial recognition system with deep learning (CNN) and SVM, achieving 98% accuracy.
• Engineered a backend system for attendance management, enhancing biometric security by 35%.

Hyderabad Area, India

Master Of Science - Ms, Computer Science, 3.90/4

Courses taken in First semester: 1. CSE-475 Foundations of Machine Learning 2. CSE-535 Mobile Computing 3. CSE-511 Data Processing at.

B.Tech, Electrical, Electronics And Communications Engineering, 9.21/10