Chandra Kant

Projects:

1- Lidar Technology Experiment in GSK

Objective: To find best Lidar sensor based on various defined use cases

• Supported this project as a Data Scientist while working with IOT team.
• Processing & Analysing the data generated from Lidar Sensors like Blickfeld, Velodyne, Livox & FARO
• 3D Object detection & segmentation using algorithms like DBSCAN , RANSAC, Pointnet++ etc.

2- Knowledge Management System

• Created a document Search Engine which ranks the document based on the content inside it.
• Technology Used: BERT Model , NLP & FAISS

• Learned various Data Science skills like Opencv , Deep Learning using Tensorflow and Keras , Azure Databricks etc.
• Applied appropriate data science techniques to solve business problems.

Project:-

1- News Data Multi-Class Classification using NLP

• Dataset used contains 46 classes and Accuracy of model was 87%.
• Technology used: Python 3.7 and Libraries like NLTK, Sci-kit Learn & Pandas

2- Handwritten Digit Recognition using Deep Learning

• Developed and implemented a pattern recognition system for handwritten digits using MNIST dataset