Projects:
Project : Payments STP
Project Client: Wells Fargo
Role: Python Developer
Period : September, 2023 - present
This project deals with payment methods of wells fargo banking services. The project falls into the Enterprise Payment Execution Line of Business under Treasury Management. This project aims to improve efficiency to the already existing payment systems. It also seeks the loop holes in these systems and through these, it provides business improvements and also proposes new business requirements for the future scope of corporate banking.
Roles and Responsibilities:
Projects:
Project : CMT
Project Client : JP Morgan Chase and Co.
Role : Python Developer
Period : June, 2022 - June, 2023
This project deals with the capital markets and trade related instruments. This is a data migration project in which the existing application is based in java and needs to be revised in python. Due to a latency occurring in communicating the trade instruments with the client, it is converted into python.
Responsibilities:
Project : Lipsync
Client : Euclid Innovations Pvt Ltd
Role : Data Analyst
Period : January, 2022 - May, 2022
Lipsync is a computer vision project in which its objective is to identify whether a person is giving a genuine expression or speech while he was being interviewed by a client. This application is integrated with zoom video conference platforms which is used for interviewing candidates.
Responsibilities:
Project : Facial Recognition
Client : CitiBank
Role : Data Analyst
Period : September, 2021- December, 2021
Project is on machine learning processing facial expression patterns. Enhance the security of Authorized personal of CitiBank. This product will anlyise the human facial features to give additional security to CitiBank authentication.
Responsibilities:
Project : CAML
Client : Euclid Innovations
Role : Data Analyst
Period : March, 2021 - August, 2021
Caml is a computer vision-based project in which it’s purpose is to detect multiple people across multiple cameras based on their appearance while maintaining their privacy. It people across multiple cameras based on their appearance while maintaining their privacy. Successfully deployed in use cases such as unique store visits, cross store foot traffic analytics, shop floor behavior analytics, real time safety at work, Operational Optimization and Performance Metrics. It is a Customizable, plug and play, Computer Vision platform that can integrate with any cameras to provide real-time spatial, behavior, and cognitive analytics with actionable insights.
Responsibilities: