Gopinath N S

Detail-oriented and results-driven professional with over 5 years of experience in the finance and service sectors, now transitioning into data science. Strong background in KYC, AML, and business operations, with a passion for analyzing complex data to uncover insights, and drive strategic decisions. Proficient in Python, SQL, data visualization, and machine learning techniques. Adept at translating business requirements into analytical solutions, and communicating findings to stakeholders. Eager to contribute as a Data Scientist by combining domain expertise with data-driven problem-solving to create impactful solutions.

Project 1: YouTube data harvesting and warehousing using SQL and Streamlit

Tools: Python scripting, data collection, Streamlit, API integration, and data management using SQL

• Developed a web application to retrieve and analyze data from multiple YouTube channels, allowing users to input channel IDs and access key metrics such as subscribers, video count, likes, dislikes, and comments
• Implemented functionality to collect data from up to 10 YouTube channels, and store it in a structured relational database for easy management and analysis
• Created a user-friendly interface that enables dynamic data querying with options to search, filter, and join tables for detailed channel insights
• Enabled efficient storage and migration of YouTube data into a secure database, allowing for seamless data retrieval and manipulation
• Designed interactive visualizations to display the retrieved data, helping users easily interpret trends and insights across different channels