Python
Working as Data Analyst, familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical and other analytical techniques. organized, motivated and diligent with significant background in analytical filed.
Data Collection with different source of documents, Analysis, Perform different operations and modification on data with good quality.
Decision Making
Analytical and Critical Thinking
Python
R Programming
Power BI
MS- Office
Attended Statistical Seminar on statistical innovations & future.
Python
R Programming
MS- Excel
1. Achieved Excellence Award for Q4 2021 at S & P Global.
2. Achieved Pinnacle Award for month of October S & P Global.
3. Presented different data quality reports with Collaboration of team.
Social Media
Travelling
Badminton
Explore with new things
Reading
Music
Attended Statistical Seminar on statistical innovations & future.
C & CPP
1. Project done in master’s on topic "Cyber Crime in India" using different statistical tools (Client: data.gov.in).
Description: Using time series as well as concept of econometrics, had discussed the different cyber crimes along with different sections.
2. Project done in bachelor’s on topic "Blind Faith in india" using technique of proportion (client: No of vehicles of different persons).
Description: Using technique of proportion test, we had been proved that Lemon-Mirch tied to vehicles is totally blind faith as well as its mis-use of these things. we had been collated data sample manually (sample size = 800).
1. Project done in master’s on topic "Cyber Crime in India" using different statistical tools (Client: data.gov.in).
Description: Using time series as well as concept of econometrics, had discussed the different cyber crimes along with different sections.
2. Project done in bachelor’s on topic "Blind Faith in india" using technique of proportion (client: No of vehicles of different persons).
Description: Using technique of proportion test, we had been proved that Lemon-Mirch tied to vehicles is totally blind faith as well as its mis-use of these things. we had been collated data sample manually (sample size = 800).