Harsh Raj Singh
About Harsh Raj Singh
Harsh Raj Singh is a data analyst with expertise in Google Cloud Platform and Google BigQuery, currently working at BenchSci. He has a strong background in data modeling, visualization, and natural language processing, supported by a Master of Engineering from The University of British Columbia.
Current Role at BenchSci
Harsh Raj Singh is currently employed as a Data Analyst at BenchSci since 2023. In this role, he applies his skills in data analysis to support the company's objectives. His responsibilities include utilizing various tools and technologies to analyze data and generate insights that drive decision-making.
Previous Experience in Data Analysis
Prior to his current position, Singh worked as a Data Analyst at Goodfood Market from 2021 to 2023. His experience also includes a role as a Project Trainee at L&T Electrical & Automation in 2017 and an internship as a Data Analytics Consulting Intern at KPMG in 2020. These positions provided him with a solid foundation in data analysis and project management.
Education and Expertise
Singh holds a Master of Engineering (MEng) in Electrical and Computer Engineering from The University of British Columbia, which he completed in 2020. He also earned a Bachelor of Technology (B.Tech.) in Electrical Engineering from the National Institute of Technology Raipur in 2018. His educational background equips him with a strong technical foundation in engineering and data analysis.
Technical Skills and Tools
Harsh Raj Singh has expertise in using Google Cloud Platform and Google BigQuery for cloud-based data analysis. He is proficient in LookML for data modeling and visualization, as well as dbt for data transformation. Additionally, he utilizes tools like Jupyter Notebook and Google Colab for interactive data analysis and machine learning projects. His skills extend to version control using Git and BitBucket, and he is experienced with data integration tools like Stitch.
Natural Language Processing Knowledge
Singh possesses a strong foundation in Natural Language Processing (NLP), utilizing tools such as nltk. This knowledge enhances his ability to analyze and interpret data, particularly in projects that involve text data and machine learning applications.