About

Avishek R. is a Senior Associate at PwC India with over 6 years of experience in Business Analytics and Machine Learning across various domains such as Retail, Healthcare, and Manufacturing Industries. Avishek is skilled in Python, R, SQL, Power BI, and is familiar with Descriptive, Predictive, and Prescriptive analytics along with necessary algorithms. At PwC, Avishek is responsible for understanding business problems, designing analytical solutions, and implementing algorithms for performing predictive and prescriptive analytics. He has also developed an automated data migration configurator for one of the largest database management clients using Python and SQL. In his previous role as a Senior Machine Learning Scientist at Dhiomics Analytics Solutions, Avishek deployed a NLP based SVM classifier of 1K classes using tf-idf vectorization method to optimize the search engine and enhance user experience. He also developed a web-based fraud detection application for the Auto Insurance industry to detect fraudulent customers and predict probable fraudulent amounts using multiple regression and classification models on different cloud environments like GCP/VE. Avishek achieved an accuracy of 97% in fraud detection. Avishek has also created an Auto ML Framework for demand forecasting using traditional time series models and machine learning and deep learning algorithms. He introduced multistep forecasting techniques along with walk forward validation method with various accuracy metrics like MAPE, RMSE, SMAPE and achieved almost 2-3% MAPE in CPG industries. Avishek has performed anomaly analysis to identify issues with process parameters which lead to defects as part of continuous casting process in steel manufacturing. He built data pre-processing modules to perform meta data analysis and data imputation activities for sensor data for multiple process parameters (Casting speed, oscillation current, tundish weight, etc.). Avishek holds a Bachelor of Technology (BTech) degree from Jalpaiguri Government Engineering College. His tech stack includes SQL, Python, ML, NLP, Research Scientist, SVM, Search, GCP, Web, and Deep Learning. With his relevant experience of 6.93 years, Avishek is a valuable asset to any organization looking for expertise in Business Analytics and Machine Learning.