I have experience as a Data Analyst and Test Analyst in the US where I have automated workflows and implemented algorithms. At my last role at Infosys, I designed and implemented an ETL pipelines (1M+ data points from 20+ sources) that reduced report generation times by 25%. I am experienced in Python, SQL, C, C++ and have worked with multiple data science libraries. My background working for a bank, a hospital, and a medical device company has given me a diverse perspective on how data and data workflows impacts organizations. I understand that data is a tool and it’s important to understand the goals of the teams’ using data. I am a deep learning and data science enthusiast and am always building things in my free time to sharpen my skills. Some notable highlights from my career are: • Led strategic automation of testing programs, built Python scripts, and managed database impacts, 5 software scenarios (data quality, data mapping), saving 200+ hours weekly across several teams • Engineered interactive dashboards with custom views and analyzed data discrepancies and KPIs using Python's Dash Library, improving data analysis efficiency and decreasing data reporting processes by more than 50% • Ingested and analyzed 1.5TB of unstructured data using PySpark to optimize database application development and ETL Processes, reducing manual data transformation by more than 70% and saving hours weekly on data ingestion processes • Developed Implemented Pattern Recognition Models and deployed data science models to identify potential inoperable error events for an assisted robotic surgery device, achieving high accuracy for error identification • Researched cutting-edge methods for defect detection and pioneered techniques for real time defect detection, enabling real time data tracking and eliminating 24-hour wait for data reporting • Architected ETL pipelines and performance dashboards, structured/visualized error log files (.json), and developed performance dashboards (React, Node.js), reducing debugging time for engineers by 50% I enjoy networking with data science and machine learning professionals. If you would like to chat, please send a message on LinkedIn. Core Competencies Debugging | Continuous Improvement | Relational Databases | SQL Server | Business Operations | API | Algorithms | Data Flows | Data Governance | Product Development | Documentation | Infrastructure Development | Prototyping | System Optimization | Big Data | Batch Processing | Cloud Platform | Cloud | Data Modeling | Data Structure | Deep Learning | GCP | Data Warehousing