About

Ambar Sinha is a highly skilled Business Analyst with 4.20 years of experience in the field of Strategy and Analytics. He currently works at Ola as a Business Analyst (Decision Science) and is responsible for creating an end-to-end transaction model to identify fraud at every transaction using Machine Learning. He has successfully reduced the fraud transaction rate at OlaMoney wallet service from 15% to less than 1%. Ambar has also created several trackers to identify the outliers, i.e. customers abusing the merchants using OlaMoney platform. His analytical work for different aspects of whitelisted users for Credit Policy has been highly appreciated. Ambar has worked as a Project Engineer at Wipro, where he worked as a Python developer for an internal tool that uses Regular Expression to extract important parts of text and convert them to the required format. He has also worked as a Research and Development Intern at the Indian Institute of Technology (Banaras Hindu University), Varanasi, where he collected and analyzed tweets and detected irony in them using different linguistic and deep learning methods like Bidirectional LSTM. Ambar holds a Bachelor of Technology (BTech) degree in Electrical, Electronics, and Communications Engineering from the National Institute of Technology Raipur. He is proficient in ML, Python, Research Scientist, and Deep Learning. Ambar is a data enthusiast who loves to play with data and find insights that can help businesses grow. His ability to analyze data and provide insights has made him a valuable asset to any organization.