In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.lg...Expand

Objective: a) Designing & developing Excel based dashboards for the Telecom Client b) Create dashboards that are user friendly & dynamic in nature c) Enable user interaction in uploading daily data as & when needed & allow user to generate KPI reports for top management reference Success Metrics: a) Tool to have 50+ KPI options to choose covering Revenue, MOU, Recharge, Data Usage, SMS, Active User Counts, Outstanding Balance, etc categories b) Interactive graphs allowing user to choose trend for the week, fortnight, monthly trends c) Data Upload success rate to be 100% all the timelg...Expand