Feb 2023 – May 2023 · 3 mos · India · Remote

• Conducted cohort based knowledge sessions on Machine Learning aimed at imparting industry relevant ML knowledge to participants from basic to advanced. Covered topics from Regression to Deep Learning.

Jan 2022 – May 2022 · 4 mos · India

• 1. Designing statistical experiments for collecting data to validate of prediction models
• 2. Design and implementation of API for WOFOST crop yield prediction model
• 3. Contributed to the development of ETL pipeline
• 4. Scraping data from various websites and designing databases to store it

Dec 2020 – Jan 2021 · 1 mo

• Working on summarization of financial documents using NLP and Deep Learning techniques.
• Exploring approaches to quantify document similarity

Apr 2020 – Sep 2020 · 5 mos · Kharagpur, West Bengal

• I worked on the project - Application of Artificial Intelligence in bus transit system. I was responsible for developing a computer vision model for determining the count of passengers waiting on the bus stands from the surveillance feed.
• I conducted an extensive literature survey of publications in the crowd counting domain to identify efficient and accurate CNN architectures for accomplishing the above objective.
• I created a custom testing set from Google Images. After manually cleaning the dataset, I used an open-source MATLAB script to annotate the dataset. I used python to preprocess the dataset and obtain density map corresponding to each image.
• I implemented Multi-Columnar Neural Network from scratch using Pytorch and OpenCV, trained it on Shanghai Tech dataset (Part B) and tested its performance on the custom dataset.
• Subsequently, I applied CSRNet to observe further improvement in the accuracy. I trained the model on a hybrid dataset using transfer learning. Further fine-tuned the model to improve accuracy.
• Finally applied S-DCNet and was able to obtain a MAE of 6.6 on the test set using pre-trained weights. The test set had a maximum count of ~800 and minimum count of ~15.

Dec 2019 – Jan 2020 · 1 mo · Jaipur Area, India

• VertexPlus Technologies Private Limited is a Global Technology Company delivering excellence across different industry verticals.
• Built a framework for Recommendation Engine using collaborative filtering

Sep 2019 – Oct 2020 · 1 yr 1 mo

• KDAG is a student driven research group aimed at bringing Data Analytics and Machine Learning enthusiasts together under the umbrella of a single society.

Jul 2019 – Jan 2020 · 6 mos

• As a sub-head, I was involved in organizing and conducting knowledge meetings on Data Analytics, Finance and Business Strategy for Associate Members.

Aug 2018 – Jul 2019 · 11 mos

• As an Associate Member, I contributed to the organization of 2019 edition of the Indian Case Challenge - largest case study challenge in Asia.
• Was also actively involved in Knowledge Meets conducted on topics from Data Analytics, Finance and Business Strategy.
• Business Club, popularly known as B-Club, is IIT Kharagpur’s in-campus society, under the Technology Students'​ Gymkhana, for all things business. It is a knowledge sharing interface for like-minded individuals operating through a ‘knowledge-session’ approach. The Club also reaches out to the student community by organizing Open House sessions, and increasingly, the general public, through initiatives like the Financial Literacy Drive