About

Proteek Chaudhuri is a highly skilled machine learning engineer with a strong academic background in statistics and time series analysis. With almost 5 years of experience, he has built and deployed scalable data-driven products across various domains, including process engineering, manufacturing, and cloud infrastructure monitoring. Currently working as a Data Scientist at opscruise, Proteek is actively involved in gathering domain-based rules to help detect inaccurate data collected. He has also contributed to planning and designing the anomaly detection module using ensemble and clustering methods. Proteek has presented the methodology used behind ML-based anomaly detection to audiences comprising of technical and non-technical personnel. He has collaborated with other team members to acquire container event data and find issues with data collection. Proteek has created and deployed ML models in AWS-EC2 instances, maintained production code for the ML-based anomaly detection module, and created automated reports on data collected and prediction of models in the customer environment. He has also established the initial framework for estimating model performance of unsupervised models to get the result in terms of a confusion matrix. In his previous role as a Data Scientist at Gyan Data, Proteek was responsible for meeting with clients to get requirements, giving data acquisition guidance, problem statement formalization, contract development for POCs, software development and testing, delivery, setup, and training client personnel. He has also completed several projects, including Sandmix and Control Loop Simulation Package. Proteek holds a Master of Technology in Chemical Engineering from IIT Gandhinagar and a Bachelor of Technology in Chemical Engineering from NIT Tiruchirappalli. He is proficient in ML, Data Scientist, Research Scientist, Python, test, SQL, AWS, infra, XGBoost, Neural Networks, Random Forest, Django, Kubernetes, Docker, MySQL, and Senior Software Engineer. Overall, Proteek is a highly motivated and skilled machine learning engineer with a proven track record of building and deploying scalable data-driven products. He is an excellent communicator and collaborator, with experience working across multiple portions of a data science project life cycle.