Anushruti Gupta

Everon is a global Platform-As-A-Service charging management solution designed for all e-Mobility needs worldwide. The role requires laying and executing a solid foundation for a strong data strategy that empowers the business strategy to enable the achievement of business vision and associated goals for Everon and EvBox.

Responsible for the availability , usability and maintenance of the datalake and associated services to achieve the data driven business objective of the organization.

Venterp is a RiskTech Saas Startup based in The Hague, Netherlands. Responsibilities: • Defining the roadmap and product vision with Co-founders and main stakeholders. • Defining the business model and planning the fundraising. • Features definition and implementation following Agile methodologies.

• Responsible for the maintainance , restructuring and design changes in the in-house Greenfield retail planning solution for the EMEA business in Nike Europe • Constant interaction and exposure with agency business partners, agency technical leads, Nike business stakeholders

Product Owner • Implementing JIRA for Scrum for effective planning, tracking and monitoring • Bridging the gap between business and IT by helping Product Owners in Backlog grooming and refinement of complex problems • Experience in stakeholder management and managing expectations in an agile environment • Aligning sprint goals between multiple agile teams • Monitor, evaluate and standardize processes for continuous process • Creating and managing release trains for multi-department and multi-technology environment • Drive discussions on scope, estimations and implementation planning • Experience in converting epics and features into user stories • Motivating & performance monitoring of team members to ensure operational efficiency and achieving targets • Implementing new requirements and fixes in a highly complex application set-up by coordinating and communicating with multiple teams and vendors Big Data Developer (Business Intelligence) • Work directly with Data Analysts/Engineers and Paytm labs to create reusable experimental and production data pipelines • Sheppard and shape the data by developing efficient structures and schema for the data in storage and transit from Hadoop using Hive to Elastic search • Set up fact and cube generation framework with stability and reliability on Hive • Developed/Manage Framework to cater exhaustive reporting and business intelligence reports that can be used by all Paytm employees. Show less

Enterprise Data Warehouse • Development of Enterprise Data Warehouse for all the data platforms deployed in Yatra .com • Architecture planning of the entire data process • Designing of data pipelines in the AWS • Integration of various data sources • BI and dashboard designing

• Worked on the development of applications which enable time series analysis on enormous telecommunications data using technologies in the Big Data framework, NoSql databases and Spark. • Resolved data complexity of incoming network packets. • Architecture planning to design solutions. • Algorithm designing so as to solve the challenges represented by the volume and complexity of data. • Cluster setup and design to handle the volume of data and facilitate analytics.

• Mining of standard Apache web logs , session identification and extraction of key metrics for a particular user which provided insights in the user behavior visiting a site. The analysis was then fed to D3 visualization and Mahout algorithm which enabled comparison study between all users of the site. • Application of web logs into different sessions based on different parameters. • Algorithms to mine traversal patterns by the user and discovering patterns. • Combining the result with time metric and Mahout to get key insights in the user behavior. • Map reduce program with combiner program to enable optimization. • Demonstration of Hadoop components in a Data warehouse setup by integrating different components of Hadoop ecosystem together. • Understanding the architecture and client requirements • Designing the solution considering different components and optimization • As a developer, developing queries and code for different components. • The POC involved discovery of names of leadership and related information about the leadership of an organization from a corpus of PDF documents related to the organization. The extracted information was matched with the information present Company’s database and the mismatch between the information was highlighted. • Identification of key passages in the documents with high possibility of finding leadership names. • Application of algorithms to extract names of leadership given a corpus of documents using Stanford NLP. • Application of algorithms to extract information about the discovered names. • Above program was modeled as a map only map reduce program .The result was obtained from the HDFS through Sqoop. Show less

• Business Intelligence Data Services is the CSSM horizontal service team which is responsible for centralized reporting and data management functions. The team comprises of core group of ETL developers and Business Objects Reports developers. • As a junior Developer, was responsible for the understanding of the core dimensions and fact workflows. • Was responsible for responding to support tickets related to Job failures. As part of Support team contact, my role required me to identify the reasons for inforrnatica job failures. • Developed simple mappings to create mappings for some of the basis dimensions for the General Ledger Datamart using SCD 2 mapping. • To process & handle internally generated network logs using tool Splunk and analyze them for different use cases and present the key insights to the networking department. • Understand the capabilities of Splunk. • Prepare Splunk queries and dashboards for different scenarios • Perform analysis on the data form Nike Server logs to provide insights. • Understand the capabilities of Tableau. • Prepare dashboards for different scenarios. • The project involved tagging of social media content from different sources like Twitter, Facebook and LinkedIn. The next step involved identification of words as names of persons, places and organization mentioned and classifying them as keywords. • Making of data adapters to extract content from different social media platform. • Use Name Entity Recognition Module of Stanford NLP packages to identify names of people, organization and places. • Studied a number of papers on Natural Language Processing to improve the processing of Social Media content as the content on Social media does not follow standard rules of the English Language. • Tagging of the content with keywords using Distributed Cache. • All the components were implemented as a Map only Map Reduce program. Show less

Everon is a global Platform-As-A-Service charging management solution designed for all e-Mobility needs worldwide. The role requires laying and executing a solid foundation for a strong data strategy that empowers the business strategy to enable the achievement of business vision and associated goals for Everon and EvBox.

Venterp is a RiskTech Saas Startup based in The Hague, Netherlands.Responsibilities:• Defining the roadmap and product vision with Co-founders and main stakeholders.• Defining the business model and planning the fundraising.• Features definition and implementation following Agile methodologies.

Data Warehouse
• Part of Data Engineering Team and Work directly with Data Analysts/Engineers and Paytm labs to create reusable experimental and production data pipelines
• Understand, tune, and master the processing engines (like Spark, Tez, Hive, etc) used day-to-day
• Shape the data by developing efficient structures and schema for the data in storage and transit from hadoop to elastic search
• Creating dashboards of analytics and predicting business trends using Grafana(data visualizer tool)
• Set up fact and cube generation framework with stability and reliability on hive
• Worked on Apache Hadoop ecosystem,Apache Spark and JVM applications.
• Worked flexibly on Java/Scala and Python both.
• Part of Data Warehousing and Business Planning & Analytics team.
• Primary Owner of major Business MIS and Transactional Reports.
• Developed/Manage Framework to cater exhaustive reporting and business intelligence reports that can be used by all paytm employees.
• Worked directly with Product managers to incorporate all changes that occurs of product level side.
• Worked on fast and highly scalable technologies like elastic search and python scripting.
• Worked on large data set with about 13+ crore users and about (5+) TB of data.
• Done cohort analysis using hive installed over big data analytics platform.

Venterp is a RiskTech Saas Startup based in The Hague, Netherlands. Responsibilities: • Defining the roadmap and product vision with Co-founders and main stakeholders. • Defining the business model and planning the fundraising. • Features definition and implementation following Agile methodologies.

Product Owner • Implementing JIRA for Scrum for effective planning, tracking and monitoring• Bridging the gap between business and IT by helping Product Owners in Backlog grooming and refinement of complex problems• Experience in stakeholder management and managing expectations in an agile environment• Aligning sprint goals between multiple agile teams • Monitor, evaluate and standardize processes for continuous process • Creating and managing release trains for multi-department and multi-technology environment• Drive discussions on scope, estimations and implementation planning• Experience in converting epics and features into user stories • Motivating & performance monitoring of team members to ensure operational efficiency and achieving targets • Implementing new requirements and fixes in a highly complex application set-up by coordinating and communicating with multiple teams and vendorsBig Data Developer (Business Intelligence)• Work directly with Data Analysts/Engineers and Paytm labs to create reusable experimental and production data pipelines• Sheppard and shape the data by developing efficient structures and schema for the data in storage and transit from Hadoop using Hive to Elastic search• Set up fact and cube generation framework with stability and reliability on Hive• Developed/Manage Framework to cater exhaustive reporting and business intelligence reports that can be used by all Paytm employees.

Product Owner • Implementing JIRA for Scrum for effective planning, tracking and monitoring• Bridging the gap between business and IT by helping Product Owners in Backlog grooming and refinement of complex problems• Experience in stakeholder management and managing expectations in an agile environment• Aligning sprint goals between multiple agile teams • Monitor, evaluate and standardize processes for continuous process • Creating and managing release trains for multi-department and multi-technology environment• Drive discussions on scope, estimations and implementation planning• Experience in converting epics and features into user stories • Motivating & performance monitoring of team members to ensure operational efficiency and achieving targets • Implementing new requirements and fixes in a highly complex application set-up by coordinating and communicating with multiple teams and vendorsBig Data Developer (Business Intelligence)• Work directly with Data Analysts/Engineers and Paytm labs to create reusable experimental and production data pipelines• Sheppard and shape the data by developing efficient structures and schema for the data in storage and transit from Hadoop using Hive to Elastic search• Set up fact and cube generation framework with stability and reliability on Hive• Developed/Manage Framework to cater exhaustive reporting and business intelligence reports that can be used by all Paytm employees.

Enterprise Data Warehouse • Development of Enterprise Data Warehouse for all the data platforms deployed in Yatra .com • Architecture planning of the entire data process • Designing of data pipelines in the AWS • Integration of various data sources • BI and dashboard designing

• Business Intelligence Data Services is the CSSM horizontal service team which is responsible for centralized reporting and data management functions. The team comprises of core group of ETL developers and Business Objects Reports developers.• As a junior Developer, was responsible for the understanding of the core dimensions and fact workflows.• Was responsible for responding to support tickets related to Job failures. As part of Support team contact, my role required me to identify the reasons for inforrnatica job failures.• Developed simple mappings to create mappings for some of the basis dimensions for the General Ledger Datamart using SCD 2 mapping.• To process & handle internally generated network logs using tool Splunk and analyze them for different use cases and present the key insights to the networking department.• Understand the capabilities of Splunk.• Prepare Splunk queries and dashboards for different scenarios• Perform analysis on the data form Nike Server logs to provide insights.• Understand the capabilities of Tableau.• Prepare dashboards for different scenarios.• The project involved tagging of social media content from different sources like Twitter, Facebook and LinkedIn. The next step involved identification of words as names of persons, places and organization mentioned and classifying them as keywords.• Making of data adapters to extract content from different social media platform.• Use Name Entity Recognition Module of Stanford NLP packages to identify names of people, organization and places.• Studied a number of papers on Natural Language Processing to improve the processing of Social Media content as the content on Social media does not follow standard rules of the English Language.• Tagging of the content with keywords using Distributed Cache.• All the components were implemented as a Map only Map Reduce program.