Rishabh Dinesh Singh

About Rishabh Dinesh Singh

I am an AI Engineer Intern at Schell Brothers, where I am developing an AI-powered chatbot using Python, Beautiful Soup, and Langchain to scrape and curate data from both public and private websites. My chatbot achieves 95% accuracy in extracting relevant information for user queries and performs similarity searches within 0.1 seconds, enhancing response speed by 80%. I am also leading the creation of a user-friendly chatbot UI on the company\'s webpage, reducing customer support costs by 50%.Before joining Schell Brothers, I worked as a Data Engineer at Accenture for over three years, where I architected and managed data pipelines utilizing AWS Glue, Lambda, and Snowflake, enabling seamless integration of diverse data sources and increasing operational efficiency by 60%. I also applied Python libraries to perform real-time data analysis on credit card transactions, reducing financial risk due to fraud by 35%. Additionally, I created Tableau dashboards and reports for a banking client, resulting in a 15% revenue increase and a 10% decrease in loan default rates.I am currently pursuing my Master of Science in Information Systems at Northeastern University, where I am learning advanced concepts and techniques in data science, machine learning, and artificial intelligence. I have also completed multiple certifications in Java, Python, and Machine Learning from LinkedIn. I am seeking opportunities in Data Engineering and Data Science to apply my knowledge and continue to grow in both areas. I am confident that my unique blend of skills and experience will allow me to make a significant contribution to any organization that values innovation, collaboration, and continuous learning.

Experience

1. Data Analytics Engineer

   Aretove Technologies

   Sep 2024 — Present · New York, NY, US

   Engineered a data pipeline using Airbyte and Python to extract Salesforce and Student Information System data,achieving 98% data accuracy in the Snowflake Data Warehouse* Architected dimensional models from raw student data in Snowflake by utilizing DBT, enhancing data reusability by 25%* Developed reusable DBT macros for data transformation in Snowflake, reducing development time by 40%* Streamlined project management using JIRA to track tasks and sprints, enhancing team productivity by 15%* Implemented dynamic task dependencies in Airflow DAGs to optimize resource utilization, improving pipeline throughput by 30%* Designed Power BI dashboards to visualize student performance metrics, improving decision-making for administrators by 20%

Education

• Northeastern University

  Master of Science - MS, Information Systems

• University of Mumbai

  Bachelor of Engineering, Information Technology