Hello! I'm Krishan, a passionate Machine Learning Engineer and Data Scientist currently advancing my knowledge at McGill University, where I am pursuing a Master of Management in Analytics. With a robust technical background and hands-on experience in machine learning operations, I thrive at the intersection of data-driven decision making and technological innovation. My professional journey includes impactful roles across diverse industries—from environmental research at McGill University to financial analytics at Protium Finance and strategic data analysis at Procter & Gamble. At McGill, I've developed a state-of-the-art computer vision model for wildlife monitoring, seamlessly integrated with cloud technologies. In the corporate sector, my projects have led to significant financial savings and enhanced customer insights through advanced predictive modeling and data analysis strategies. I am eager to connect with professionals who are as enthusiastic about harnessing the power of data to solve real-world problems. Let’s discuss how we can drive technological innovation and create robust solutions that offer strategic insights and competitive advantages. Core Competencies: I am adept in a broad array of technologies and frameworks, including Python (with libraries such as Numpy, Pandas, Scikit-Learn, Matplotlib, and TensorFlow), SQL, R, and JavaScript. My technical proficiency encompasses both cloud-based solutions like AWS and Azure, and big data technologies like Spark and Databricks. In machine learning, I am well-versed in techniques from linear and logistic regression to neural networks and deep learning applications like CNNs and RNNs. My analytical toolbox is enriched with advanced statistical methods and data visualization, ensuring precision in insights and clarity in reporting.