Muhammad Imran

• Implemented end to end data science & machine learning pipelines • Performed sentiment analysis, clustering & classification tasks • Analyzed text data to extract enriched features for machine learning • Information retrieval, key word extraction, & deep learning modeling • Random Matrix Analysis for Natural Language Processing (NLP)

My work focused to leading data science projects leveraging industry data with Machine learning modeling, Spark and Python technologies. Planning and supervising team migration activities of Data Science project from traditional architecture to Big Data Cloud-based architecture. Actively involved in guiding research activities on Data Science and Big Data (AWS / Spark) applications.

Responsible for leading data warehousing and data engineering projects leveraging industry data with SAP Business Intelligence (BI/BO) technologies. Planning and supervising team migration data from traditional architecture to Big Data Cloud-based architecture. Actively involved in guiding research activities on SAP BW on HANA, SDA, SLT landscape transformations. • Create Data marts using SAP BW on HANA, SDA, SLT and BODS services (ETL)

Determine user requirements; Create use cases, business process models & diagrams Conducted Joint Application Development (JAD) sessions with stakeholders Validate technical designs created by IT developers against functional specifications Develop business application fulfilling the end user requirements Worked with QA team to design, test plans & test cases for user acceptance testing

Data Management in Large Scale Distributed Systems Advanced Learning Models Fundamentals of Probabilistic Data Mining Machine Learning Fundamentals Advanced Algorithms for Machine Learning and Data Mining Information Visualization, Distributed Systems Model Selection for Large Scale Learning

Software Programming Databases Networks Mathematics Probability Statistics