Recommending machine learning, data mining algorithms for anomaly detection based on IoT use case and data. The thesis approaches the selection of algorithm and some hyper-parameters in an automated way from the given dataset such as Smart Cities, Smart Home, Equipment monitoring and Health sensors. 1) Analysis and comparison of several Supervised, Semi-supervised and Unsupervised (Statistical, Predictive, Distance, Density, Angle-based, Classification, Regression and Clustering)2) Acquiring domain knowledge from different real wold application by extracting and analyzing the real world batch and data streams, images and patterns.3) The prototype created works as a pipeline of pre-processing, feature extraction, transformation and model selection.4) Execution and calculating evaluation metrics for feed-back learning process to make the recommendation precise.

Smart Living & Biometric Technologies:▪ Researching and working on sensor Data collection and Monitoring.▪ To work further on the logic and application built on the processed sensor data.▪ Working on SIP protocol, implementing hand-free emergency and alarm notification features.

Automation of the translation service with the help of Jenkins. Creating and maintaining CI/CD pipelines. Working along with team and gaining insights on Data Service and modeling real time analysis and risks on Predictive maintenance and service.

Work-Student in Cloud Delivery and Development &Operations Job:▪ Have a good knowledge in the learnt Area P&I which responsible for the Development and CloudDelivery of all on-demand solutions and provides customers and partners with services across thefull HCM Cloud portfolio which includes SuccessFactors BizX Suite, Learning Solution, Analytics.▪ Verification and optimization the data from different sources including contract management whichis a key factor to enable optimization of operations costs.▪ Automation of data center deployment and Data clean up activities including, mapping andswapping etc.

▪ Using IBM presented TM-1 tool which is used for budgeting, forecasting for business enterprise planning.▪ Enhancing the web and windows applications in .NET platform, VB.NET on retail solutions for price optimization, store planning, budgeting, logistics, payroll management and competitor analysis▪ Automation of development and operation tasks followed by the team.