I’ve led projects spanning from Machine Learning, Data Engineering, to A/B Testing and Data Visualization. My professional experience has equipped me with an understanding of a) How to leverage data for different functions and projects b) Different types of Data Science challenges c) What makes a great data scientist. I have multiple publications and experience in projects ranging from A/B Testing, Data Infrastructure, KPI, Dashboarding, ML/AI products, Image Processing, Natural Language Processing, Neural Networks. My education background is applied statistics and electrical engineering. Whether it's a professional project, a career discussion or an upcoming interview: I would love to help! Languages: Python, Databases: PostgreSQL, MySQL, SQLite, Redis, MongoDB, Cassandra, Hive, BigTable, Elasticsearch Frameworks: Spark, Hadoop Containerization: Docker, Kubernetes Cloud: AWS, GCP