Deepak Yadav
About Deepak Yadav
Deepak Yadav is a Product Data Analyst at LEAD School, with a background in Computer Science Engineering and experience in data visualization and ad-hoc query development.
Work at LEAD School
Deepak Yadav currently serves as a Product Data Analyst at LEAD School, where he has been employed since 2022. In this role, he is responsible for designing metrics that evaluate school performance, which contributes to improving educational outcomes. He creates action-oriented dashboards that allow various teams to make informed decisions based on data analysis. His work involves utilizing Python and SQL to generate necessary data for analysis.
Previous Experience at MandelBulb Technologies
Before joining LEAD School, Deepak Yadav worked as a Data Engineer Intern at MandelBulb Technologies for two months in 2022. During this internship, he gained experience in data engineering practices and contributed to the company's data management efforts. His role involved developing ad-hoc queries to support operational processes, which enhanced the efficiency of daily activities.
Education and Expertise
Deepak Yadav completed his Bachelor of Technology in Computer Science Engineering at Aravali College of Engineering and Management from 2018 to 2022. He also studied Science at Vidya Mandir Public School, achieving his Senior Secondary School certification from 2017 to 2018. Additionally, he pursued computer programming at Zero To Mastery Academy, focusing on Python. His educational background provides him with a solid foundation in data analysis and programming.
Data Visualization and Tools Transition
In his role at LEAD School, Deepak Yadav successfully transitioned the company's data visualization tools from Tableau to Google Data Studio. This change ensured seamless data availability and improved data quality across the organization. His expertise in data visualization plays a crucial role in enabling teams to access and interpret data effectively.
Technical Skills and Proficiencies
Deepak Yadav demonstrates proficiency in Python and SQL, which he utilizes to produce necessary data for analysis. His technical skills enable him to develop metrics and dashboards that support decision-making processes within the organization. His ability to analyze data and create visual representations is essential for enhancing operational efficiency.