Karanveer Singh Email and Phone Number

Analyzed and migrated large datasets with minimal downtime by implementing robust data quality checks, ensuring consistency and integrity during transitions.Designed interactive Tableau dashboards to visualize key business metrics and trends.Optimized SQL queries and Snowflake schemas for efficient data retrieval and storage.Automated complex ETL workflows using Informatica PowerCenter, increasing efficiency in data processing pipelines and reducing manual intervention.Delivered detailed reports with actionable insights, supporting strategic planning and operational improvements across multiple business units.

MET CS 677: Data Science with PythonAssisted with MET CS 677, focusing on Python-based data science, covering data analysis, machine learning, and visualization techniques. Supported the creation of engaging course materials, including interactive lectures and coding exercises, to enhance students' practical skills. Provided one-on-one guidance during lab sessions, helping students solve Python coding challenges and master core data science concepts. Reviewed assignments and projects, ensuring understanding of data manipulation, statistical methods, and predictive modeling. Worked closely with the professor to update the curriculum with the latest Python tools and data science trends.

Performed in-depth data analysis and migration using SQL, Snowflake, and Python to ensure seamless integration and accurate transformation of large datasets during platform transitions.Designed and implemented optimized data storage schemas and managed ETL processes with Informatica PowerCenter, automating data workflows and improving efficiency in data handling.Developed Python scripts for automating data cleaning, preprocessing, and migration tasks, improving overall accuracy and reducing manual intervention.Utilized Tableau to create dynamic visualizations for stakeholders, offering insights into migration progress and overall data trends.

Leveraged machine learning techniques to analyze large datasets, extracting insights and providing data-driven recommendations.Developed and implemented an AI-based data warehousing solution using Python, improving data retrieval and storage efficiency by 30%.Conducted data cleaning and preprocessing to ensure high data quality and accuracy.

Conducted data flow analysis and optimization between the Front End and Back End of a webapplication, reducing data processing time by 20%.Employed React, Django, and Firebase to enhance data processing and integration, leading toimproved system performance and user experience.

Developed a mobile application for the school website using Flutter, Dart, and XML, enhancing user experience and accessibility.Collaborated with a team to design and implement key features, ensuring seamless integration with the school's existing systems.Focused on front-end development to create a responsive and user-friendly interface.