Savitha Janardhan Singh

• Administration of Hadoop cluster. Kafka – HDFS data pipeline Proof of concept for a project and architectural designs with documentation of ETL process requirements and best practices. • Ansible programing language used for NTP, Prometheus configuration. Working with GitHub. • CVAT (Computer Vision Annotation Tool) manual, automation (using machine learning models) data labeling. • Presentation of a potential project requirements to the sales team.

• Network data analysis of video streaming applications. • Study about Site Reliability Engineering, Quality of Experience (QoE), Quality of Service (QoS) and Key Performance Indicators (KPI). • YouTube streaming data of mobile users were used from different European countries. • Use of Key Quality Indicator's (KQI) formula on the data to analyze QoE. Data analysis and Data Visualization using Machine Learning concepts comprised.

• Flight simulation data analysis. Relationship building with of co-specialists from other departments. • Learning the basics of aerodynamics and applied processes at Airbus for these fields of expertise. Defining the problem statement with respect to the creation of a data lake and the selection of suitable methods for big data analytics. • Implementation of a script, size of large CFD campaigns (computational fluid dynamics) can be estimated. This helps to estimate the size of a data lake.

• Sensor data analysis. Data pipeline (ETL) using Microsoft Azure. CosmosDB, BLOB storage, Functions usage. • Extracted data analysis using ML algorithms such as K-mean Clustering, PCA, Linear regression and more. • Data Visualization using Tableau and analyzing results to find the factors of road conditions and air pollution for a given location using Breezometer data as reference. • HDInsight (Hadoop) data pipeline Proof of concept for Big data solutions.

Projects: Credit Suisse and BHP Billiton • End to end EMC NAS and SAN, Isilon storage being the focus. Involved in planning the new installations, Implementation, Configuration and OS updates. SME for the NAS Storage – knowledge transfer to team members. • Collaboration with global teams, contribution towards business decisions. Support to cloud services. • Hosting team calls with client and global team members to plan and prepare the Data Center growth. CAB and CHAP meetings. Remote change management.

Statistical Modeling, Data Mining, Machine Learning, Data Analytics. Data Visualization, Data Management, Cloud Computing, Big Data Technology