Seasoned analytics professional with over ten years of experience applying analytical, data science, and programming knowledge in core engineering fields such as Manufacturing, Production Planning and Strategy, Defense, Renewable Energy, Education, Precision Agriculture, and Remote Sensing Technology. Highly skilled at identifying business pain points and providing descriptive, predictive, and prescriptive analytics solutions to customers from three continents around the world. Faraz has extensive experience building and deploying machine learning products while working in fast-paced early-stage startups, and is comfortable wearing multiple hats and performing cross-functional roles such as data scientist, ML engineer, and product manager. Skills and tools: - Programming in Python & R, QGIS, Alteryx, SQL, ETL, Tableau - Machine Learning- Predictive Analytics(Supervised & Unsupervised learning), ScikitLearn, Tensorflow - Statistical Analysis and Hypothesis Testing - Data Engineering - Database- PostgreSQL, MySQL, Sqlite, SQLAlchemy - AI/ML Product Management