Muhammad Usman Syed

Usman is a Data Science Master’s Graduate from the University of Hildesheim (Germany) with prior experience in the Data Warehousing domain as a Business Intelligence Consultant. He has worked with versatile teams in the Telecom and Finance sector in order to cater to business requirements. Usman has worked on Access Layer development, Report development, Dashboard development, KPI reconciliation and Adhoc Data requirements for the BI domain. For the Data Science domain, he worked on a end -o-end Motion Classification Project based on sensor data, the result of which was published in the ECDA 2019 (European Conference of Data Analytics). His tasks in the project primarily were Data Exploration, Preprocessing and Training and testing logistic regression with LSTM. Usman also worked on the comparison and improvement of Model Averaging Techniques through Network Topology Modelling in a distributed environment with Pytorch and MPI.

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