Aniruddha Chattopadhyay

Quality Engineering Design and Manufacturing, Indian Institute of Technology Kharagpur

Work Experience:

Analyst Intern at HSBC | July 2020 to August 2020

Opportunity Scoping for Financial Simulations in Quantum Computer at HSBC Electronic Data Processing India Private Limited,Kolkata

  • Predicted Stock option prices using monte carlo simulations in a Quantum Computer using Qiskit Framework
  • Achieved Quadratic speed up on error convergence of Monte Carlo Algorithm.
  • Delivered results to support cost cutting by more than 5 billion dollars

  • The Report is highly confidential but would love to discuss more on the methodologies used, please contact me at: studyaniruddha@gmail.com


    Lubble Technologies | Remote Internship for more than 11 months

    Android, Django and NodeJS developer

  • Responsible for introducing and augumenting vital features to the Lubble android application.
  • I work on the android app and backend in Firebase and Django. My tasks involves creating Rest APIs ,writing Cloud Functions and introducing new Features along with improving and optimizing existing features.
  • Introduced personalized and targeted notifications using Intelligent Recommender system to increase consumer engagement

  • StepsWatch| June, 2020 to July 2020

    Computer Vision and Machine Learning Intern

  • Worked on developing a backend in flask that connects to a react native front end.
  • Data Vizualization and activity tracking charts created which is served based on rest api request from frontend.
  • Facial Recognition applied on photos as well as videos using dlib library to identify individuals and apply gaussian blurring on faces of non consenting individual

  • Linear Programming project under Prof. Manoj kumar Tiwari, Department Of Industrial and Systems Engineering,May 2019-July 2019

    Air Cargo Shipment optimization

    Developed an linear programming model for minimizing the cost of an air cargo shipment using concept of Integration,consolidation and deconsolidation. Solved the model using a heuristic ant colony optimization algorithm in python. This significantly increases the profit of the freight forwarders. GitHub Code is available here