About

Hritik Jain is a skilled Machine Learning Engineer with a passion for predictive modeling, big data analytics, and recommendation systems. With over 4.69 years of relevant experience, he has a deep understanding of statistical testing, causal inference, and experimentation. Hritik is proficient in Python, SQL, C++, Bash, Git, Apache Spark, Apache Airflow, AWS, GCP, BigQuery, scikit-learn, TensorFlow, and ggplot2. He has expertise in the analytics stack, including linear regression, deep neural networks, SVMs, random forests, and gradient boosting machines. Hritik has experience building end-to-end data and ML pipelines for production and has a strong understanding of fundamental algorithms, data structures, and runtime analysis. He is currently working as a Machine Learning Engineer at Etsy, where he is responsible for developing and implementing machine learning models to improve the platform's recommendation system. Previously, Hritik worked as a Graduate Teaching Assistant at Columbia University, where he was involved in creating and grading HW assignments primarily utilizing GCP and Apache Spark. He also gave tutorials to the class. He has also worked as a Machine Learning Engineer Intern at Etsy, where he made the recommendation system interpretable. Hritik holds a Master's degree in Data Science from Columbia University and a Bachelor's degree in Computer Science from the Indian Institute of Technology (Banaras Hindu University), Varanasi. He has a strong tech stack, including ML, Spark, SQL, AWS, GCP, Computer Vision, Deep Learning, Apache Airflow, Scikit, and Python. Overall, Hritik is a highly skilled Machine Learning Engineer with a passion for developing innovative solutions to complex problems. He is a valuable asset to any organization looking to improve its data-driven decision-making capabilities.