Focus : Data Analyst
Specifications : Econometrics , Data Visualisation
Skills
Data Analysis, Data Visualisation, Data Manipulation, Data Wrangling, Econometric Analysis, Economic Research, Team Management, Presentation, Documentation,Languages
English, Hindi, French,Hobbies
Reading
Employment History
Research Intern , 360 Analytika
- Policy Impact Evaluation using Python, Excel and Stata.
- Analyzed daily open Government data and published articles.
- Learned about Market Research using Glimpse addon for Google Trends data.
Data Analyst Intern , Cosmos Integrators Pvt Ltd.
- Analyzed EV Charging data generated by the Central Management System using Python and Excel.
- Economic Analysis on EV Infra development
- Created social media posts using Canva and trained employees on how to use the platform.
- Learned about EV Charging Procedure and vehicles’ BMS.
Education History
Internships
- Policy Impact Evaluation using Python, Excel and Stata.
- Analyzed daily open Government data and published articles.
- Learned about Market Research using Glimpse addon for Google Trends data.
- Analyzed EV Charging data generated by the Central Management System using Python and Excel.
- Economic Analysis on EV Infra development
- Created social media posts using Canva and trained employees on how to use the platform.
- Learned about EV Charging Procedure and vehicles’ BMS.
Projects
Prediction of Life Satisfaction using OECD’s Better Life Index Data
The project aims to explore the determinants of economic growth in a range of countries, encompassing both developed and developing nations, each with its unique narrative. The primary focus is on essential economic indicators such as GDP, inflation, money supply, exchange rates, and foreign direct investment (FDI). These factors collectively contribute to assessing and understanding the overall economic well-being of a country.
I conducted an in-depth analysis of dining preferences on our campus, across diverse departments. Using the statistical capabilities of R Studio, I employed prop.test and Fisher's Exact Test on a meticulously collected dataset through stratified random sampling. The results consistently revealed a statistically significant preference for "Cafe By The Valley" (approximately 67%) among surveyed individuals. This analysis provides valuable insights into campus dining dynamics and showcases my proficiency in utilizing statistical tools for impactful data analysis.