Client: Solute GMBH.1) Traffic Partner Blacklisting Project:- Led online shop performance enhancement project, focusing on improving traffic quality.- Developed system using Python and PySpark for comprehensive traffic and profit analysis.- Optimized budget allocation using linear programming, enabling efficient blacklist creation.- Collaborated with a team, conducting peer reviews and documenting processes in Confluence and Jira.- Established performance-based blacklisting criteria, improving budget allocation and traffic quality.2) Reporting Tool Evaluation Project:Led a comprehensive 3 months project to evaluate and recommend the optimal reporting tool for the organization, focusing on future integration with cloud-based solutions and enhancing the current on-premise big data infrastructure.Key Responsibilities:- Conducted an in-depth analysis of Looker, Power BI, and the existing on-premise cube-based reporting tool.- Evaluated tools based on criteria such as web-based development, version control, collaboration features, self-service capabilities for business users, and performance.- Collaborated with cross-functional teams to gather requirements and understand current and future reporting needs.- Developed and executed test cases to compare performance, usability, and integration capabilities of each tool.- Presented findings and recommendations to senior management, highlighting the pros and cons of each solution and aligning them with our strategic goals.

- Conducted financial data analysis using Python, Hadoop, Hive, and SQL for accurate forecasting.Utilized Apache Spark for large-scale data processing, delivering timely financial insights.- Implemented agile methodologies and managed projects with Jira, improving collaboration and efficiency.- Migrated data science projects from SAS to Python, enhancing flexibility and scalability.- Applied Dataiku DSS for efficient data engineering, including preparation and transformation.- Trained team members on Dataiku DSS and Apache Spark.- Engaged in collaborative coding and version control with GitHub.- Presented financial forecasts using Tableau, aiding data-driven decision-making for stakeholders.

Project : Semiconductor Wafer Defect Signature AnalysisDeveloped a computer vision model to analyze scanned images of semiconductor wafers, detecting defect locations and shapes (e.g., circles, lines, blobs).Project : AI based approach for MRO Optimization and Similar Parts DetectionDesigned an AI-driven solution to identify and eliminate duplicate spare parts from a client’s inventory of over one million items, enhancing inventory management and approval rates.

A network controller used to improve the network traffic monitoring and analysis. Got excellent feedback from customers after implementing a rule based classification algorithm to automatically prioritize the ACL rules to redirect the traffic to the corresponding monitoring services.

The Linux Foundation’s OPEN-Orchestrator Project & A SDN based service aware Network Controller andmanagement system

Web-based network management solution that offers configuration, provisioning and troubleshooting for a wide range of technologies. The system managed multiple network devices, and provided management for services across different network elements

Web-based software application that helps to automate the daily operations for the service provisioning of access NEs, such as DSLAMs