Siddharth Srivastava

Data analyst

: linkedin.com/in/siddharth1903

Work Experience

Tech. Intern
- DNEG
  • Utilized Python scripting in Nuke and Maya to create tailored tools, streamlining workflows.
  • Thrived in team environments using Jira for project management and Git for version control.
  • Crafted engaging games with Unreal Engine, blending C++ and UE Blueprints for interactive experiences.
Jan 2023 - June 2023
Mumbai, IND
Data Analyst Intern
- Stemrobo
  • Gathered, cleaned and analyzed datasets for key projects using Excel, Python, and SQL.
  • Built Power BI dashboards for sales, marketing, and LMS to improve decision-making and track progress.
  • Created an LMS dashboard for teachers, students, and admins to monitor progress and popular courses.
  • Automated data tasks with Python, including a tool for generating YouTube video info using web scraping and Google API.
July 2024 - Present
Noida, IND

Education

B.Tech in Computer Science
2019 - 2023
Bennett University
Senior Secondary Examination(CBSE)
2018 - 2019
Seth Anandram Jaipuria School
Higher Secondary Examination (CBSE)
2016 - 2017
Seth Anandram Jaipuria School

Projects

LMS Dashboard
  • Used Power BI to create an LMS data dashboard to visually showcase student performance metrics such as marks, average marks, results, and course duration.
  • Included detailed views of courses offered, facilitating comprehensive understanding and analysis.
  • Enhanced data visibility and decision-making for educators and administrators.
Covid-19 Data Exploration
  • Used SQL Server to explore global COVID-19 data.
  • Utilized advanced SQL skills, including joins, CTEs, temporary tables, window functions, aggregate functions, view creation, and data type conversions to extract key insights and trends.
  • Developed interactive Tableau dashboards to present findings and support data-driven decision-making visually.
Movie correlation with Python
  • Utilized various statistical techniques to uncover relationships and patterns.
  • Applied data visualization libraries such as Matplotlib and Seaborn to create insightful visual representations.
  • Employed pandas for data manipulation and cleaning, ensuring robust analysis.
Wikipedia Web Scraper
  • Automated the process of retrieving relevant Wikipedia data for user-defined queries.
  • Scraped Google search results for the input query using BeautifulSoup.
  • Extracted and parsed the Wikipedia page from the Google search results.