Aindril Kar

Detail-oriented, organized and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

• Live Accounts Accuracy Improvements and Monitoring: Had to take up 6-7 accounts single-handedly at a time for re-training/re-modeling and analysis for low accuracy, Even had to revisit design documents for correct data identifiers for input data points to the use-case.
• At the time of hand-over the average live accuracy was around 39% which when went under-troubleshooting [Re-training/Remodeling with correct input data identifiers] got bumped up to 60% where at an individual level for certain domain of clients the jump was up to 90%.
• Fixing Daily-Prediction agent configurations for certain accounts [ideally the job of consultants] due to wrong configurations.
• Cross-team coordination due to dependencies being revisited multiple times, but ultimately resolved after a few discussions.

• Hiflyer of the Quarter Intern Q2-2021
• HiFlyer of the Quarter FTE Q2-2022
• Hiflyer of the Year 2022
• Google Hash-Code coding competition: International Rank 4338 and 10th in University hub.

• Payment Date Prediction [PDP], AIms to predict the clearing date of an open invoice based on historical trends and patterns exhibited by its customer base.
• Dynamic segmentation, Aims to segregate customers into two risk categories based on ease of collections i.e high and low risk customers.
• AI worklist, Aims in incorporating all the AI outputs from use-case PDP and DS along with standard parameters to create a more proactive prioritization of customers.