About

Param Saraf is a Full-Stack Data Scientist with a passion for solving data science problems from top to bottom. He has expertise in the complete stack of data science, from Data Engineering (SQL/Rest API/Hadoop/DAX/SSAS) to Visualization (Power BI), Feature Engineering, Model creation for Predictive, Forecasting, NLP, Object Detection, and deployment using Kubernetes or Docker. He is currently working as a Senior Data Scientist at Adobe and has previously worked as a Machine Learning Engineer at Intel. Param has vast experience in Data Science, R, Python, NLP, BERT, Kubeflow, CDSW, Einstein, DataRobot, Azure ML, Power BI, Hadoop, SQL, SSAS, DAX, SSIS, and Microsoft Flow/Power Automate (RPA). He holds a degree in Big Data Analytics from IIM Bangalore and a B.Tech in Computer Science from GTBIT, Delhi (GGSIPU). In his previous role at Intel, Param worked on Data Science/Analytics, using R/Python/Datarobot/Azure ML/NLP/BERT/Word2Vec/Glove/Image Detection/CNN/RNN/Mask RCNN/Text Data Processing and Classification/Forecasting/SARIMAX. He also worked as a Software Engineer 1 at Maq Software, where he worked on SQL, ETL (SSIS), Tabular Model (SSAS), and Excel Dashboard. He was recognized for his work with a Spot Award from the Manager twice. Param's education history includes a Big Data Analytics degree from IIM Bangalore, a Bachelor of Technology (BTech) in Computer Science from GGSIPU, and a 12th grade degree in Science from Sardar Patel Vidyalaya. He also holds a 10th grade degree in Science from Sardar Patel Vidyalaya. Param's Tech Stack includes Data Scientist, Research Scientist, ML, SQL, Senior Software Engineer, NLP, BERT, Hadoop, Object detection, Azure, Python, Object Detection, Data Engineering, Big Data, Kubernetes, Docker, CNN, RNN, Word2Vec, ETL, Frontend, Software Engineer, Integration, and Backend. He has 9.69 years of relevant experience and is interested in roles such as Data Scientist, Tech Lead, Analytics Manager, and Analyst.