About

Sankha Subhra Mukherjee is a highly skilled Data Insight Analyst with 2.78 years of experience in the field of Machine Learning, NLP, and Data Engineering. He completed his B.Tech in Electronics and Communication from Techno India, Salt Lake, and his M.tech from Indian Institute of Space Science and Technology, Trivandrum. His project work was based on Machine Learning based Optical Communication. Currently, Sankha works as a Data Insight Analyst at Chryselys, where he has worked on various projects such as creating a Machine Learning model to predict the number of patients who are going to switch their drugs in the next 3 months using historical drug usage data and demographic data and a web scraping project to automatically log into customer websites and find specific information from images using Pytesseract. He has also created REST APIs using Flask and automated Qliksense and MS Excel reports using Python. In his previous role as a Machine Learning Engineer at Finarb, Sankha created a Machine Learning model to predict if a machine in a pharma factory is going to fail within the next 7 days using historical sensor information with 90% accuracy. He also worked on an image classification project where he classified broken tablets from whole tablets in a pharmacy factory using Tensorflow in distributed training for parallel processing of SSD Resnet & Faster RCNN models, increasing processing speed by 40%. Sankha's education background and experience have given him an extensive skill set, which includes ML, SQL, Python, NLP, BERT, Reinforcement Learning, XGBoost, Tensorflow, Keras, Sagemaker, GPT, ResNet, Scikit, Computer Vision, Flask, Pytorch, Web, OpenCV, AWS, Recommendation system, Object detection, Seaborn, Object Detection, Data Engineering, Deep Learning, Big Data, Pandas, MySQL, MongoDB, Azure, and GCP. Sankha has a 5-star rating in HackerRank Python and SQL and a 4-star rating in Leetcode. He is a highly motivated individual with a passion for learning and continuously improving his skills to stay up-to-date with the latest technologies.