Lok Sabha Election - 2019 (Atlas and Dashboard) completed at the Election Commission of India

My dissertation reflects my work conducted at the Election Commission of India Headquarters, New Delhi as the Statistical Expert for Lok Sabha Elections 2019.

The focus is to establish an understanding of the impact of analytics and machine learning algorithms amongst both voters and candidates alike. In the progressing general decisions 2019 in India, innovation hosts made it simpler for political gatherings to measure the temperament of the voters and put their best message forward.

Ideological groups are utilizing huge information examination to assemble bits of knowledge into voter inclinations dependent on their financial status, rank, nearby issues, and different parameters.

In light of the voter conclusion and fragments, modified decision crusades with the most significant messages and recordings are being made and pitched to the particular target gatherings.

Keeping the effect of personal biases in mind nowadays, the trends have shifted to more of scientific approaches. The election results, voter turnout percentages and party performances are now predicted statistically using a poll. Sample of voter data is collected to develop test cases and from that the result of the elections are extrapolated.

Project under the Reserve Bank of India

Worked as Research Associate at the Strategic Research Unit to examine the relative influence of “reasons for” and “reasons against” adoption of mobile banking (m- banking) among Indian consumers.

The investigation examined pre-implementation as well as post-implementation modal costs and arrivals for diverse grains within Agricultural Produce Marketing Committee. The results of this study concluded that a floor price ceiling is required to prevent prices from falling, as well as a shift in the marketing period to prevent increased arrivals with proper checks and balances. It then suggests that the system of price deficiency payment can, to some extent, increase the prices farmers receive.