Aman kapoor
Data ScientistData Scientist | PaisaBazaar
PaisaBazaar
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | PaisaBazaar
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
PaisaBazaar
Data Scientist
June 16, 2026 – Present
MLWARE_1
February 25, 2017 – February 25, 2017
Totally i new area of competition for me and my team mate(anchal gupta ) , we havent work on recommendation system before , but was a nice experience to compete with 100 teams on a national platform and securing a rank of 29th
View Projectsbs
February 21, 2017 – February 21, 2017
sequential backward selection , it is an algorithm which starts with n no of feature and check the accuracy of model with d no of features where n>d and remove the noise by removing the irrevelant features *Chapter 4* dimensionality reduction techniques
View Projectultimate-studenthunt
October 2, 2016 – October 2, 2016
ultimate-studenthunt — GitHub repository
View ProjectH20-learnup
July 21, 2016 – July 21, 2016
Created a model for the speed of the wind turbine , and created features like speed , direction and t sne distribution and used decision trees to combine the date and the month columns and used glmnet for feature selection Ran a bag of 10's xg boost and secured a rmse of 0.17321 rmse (root mean square estimation ) in public leaderboard but on the private leaderboard leads to overfitting inspite of good CVs . Anyways great learning experience , and I thank analytics vidya for conducting this competition Rank : 12th / 109 participants Team Name : Aegis Team Meambers : Aman Kapoor Anchal Gupta
View ProjectCultural Fit Analysis
The candidate's project history primarily consists of personal competition entries, which indicates a self-driven learning approach and competitive spirit. However, the lack of team-based project descriptions or professional work details (beyond current role title) makes it difficult to fully assess cultural fit for collaborative environments. The projects align with a Data Scientist role, showing relevant technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.