About

Arshdeep Singh is a Quantitative Researcher at Greenland Investment Management, known for his expertise in Python, Machine Learning, and XGBoost. He graduated with a Dual Degree (Btech +Mtech) in Electrical, Electronics and Communications Engineering from the prestigious Indian Institute of Technology, Kharagpur. Arshdeep is a seasoned researcher with 4.35 years of experience in Data Science, Machine Learning, and Quantitative Research. Arshdeep's professional journey began at American Express, where he worked as a Data Scientist in the Risk Management Unit. He was responsible for developing and deploying various models to predict the future spend of a customer on a merchant using XGBoost algorithm. He also developed a dynamic impression decay engagement model using Python, XGBoost/LSTM to uplift the customer revenue for Amex and merchants. Arshdeep's contribution to the Fingerprint R3 1.2 capability for offer personalization to the US MR enrolled CMs based on their relevance, spend behavior, and cost associated is noteworthy. Arshdeep's expertise in Machine Learning and Data Science was further honed during his MTech project at the Indian Institute of Technology, Kharagpur. He implemented a static analysis framework using meta-data of the exe file using pe-file library in Python. He used entropy-based features to deal with obfuscation of the malware and reduced the feature space to achieve scalability. Arshdeep trained ML algorithms such as Random Forest, Decision trees, and AdaBoost with maximum accuracy of 99.44% using RF. Currently, Arshdeep is working as a Quantitative Researcher at Greenland Investment Management, where he has improved Mobility-Coverage By Self-Orienting Transmitter in Indoor Visible Light Communication by dynamically measuring the signal strength at receiver. He programmed Arduino to send the signal from the master device at the receiver end to the slave device at the transmitter end with the in-house developed algorithm. Arshdeep's passion for learning and innovation drives him to excel in his field. He prides himself on being a thinker and aspires to be a great innovator. His sole objective in life is to keep on learning and having fun, being whoever he wishes to become. Arshdeep's tech stack includes Research Scientist, Python, ML, XGBoost, and Random Forest.