Siddharth Goyal
About Siddharth Goyal
Siddharth Goyal is an SDE1 Data currently employed at Trademo in Gurugram, Haryana, India. He has a background in computer science, with experience in data engineering and software development, including internships at CityMall and Jaypee University of Information Technology.
Work at Trademo
Siddharth Goyal currently holds the position of SDE1-Data at Trademo, where he has been employed since 2022. His role involves working on data engineering projects that leverage various technologies and methodologies to enhance data processing and analysis. His contributions are integral to the company's data-driven initiatives.
Previous Experience
Prior to his current role, Siddharth Goyal worked as an SDE Intern at CityMall for four months in 2022. During this internship in Gurugram, Haryana, he gained practical experience in software development and contributed to various projects. Additionally, he served as a Research and Development Intern at Jaypee University of Information Technology for two months in 2021, where he further developed his skills in data engineering.
Education and Expertise
Siddharth Goyal completed his Bachelor of Technology in Computer Science at Jaypee Institute of Information Technology, Noida, from 2018 to 2022. His academic background includes a foundational education at Modern Vidya Niketan, where he studied from 2004 to 2018. His education has equipped him with a solid understanding of computer science principles and data engineering practices.
Technical Skills and Tools
Siddharth Goyal has utilized various tools and technologies in his data engineering projects. He has experience with Jupyter Notebook, Apache Airflow, and PyMongo. His technical skills include creating Elasticsearch indexes for features such as HS Code and Company Name autosuggestions, as well as developing scripts for optimizing Elasticsearch data searches through fuzzy matching.
Projects and Contributions
In his professional journey, Siddharth Goyal has developed a script that optimizes Elasticsearch data searches using fuzzy matching and has automated this process through Directed Acyclic Graphs (DAGs). He has also implemented multithreading and parallel processing techniques to improve the execution speed of Python functions, showcasing his capability in enhancing data processing efficiency.