Debasis Patra Email and Phone Number

Project Domain : Predictive Analytics on OIL & Energy domainClient : US based OIL & Energy OrganizationDescription: Project objective was to predict the Product or Chemicals quantity that will be used as a consumable product during a Job run. Develop a analytics model which will predict chemicals quantity in prior, So that client can able to manage the appropriate quantity availability for smooth job run in future.Key Result Areas:• Analyzing Lab, Job & Product transactional data to understand various co-relation with product quantity• Design Analytics Base Table by fetching right fields which will help ML model to predict accurate quantity• Analyze features using statistical techniques• Document analysis process flow on every sprint

Project Domain : Travel Recommendation SystemClient : Largest Travel Organization in UKProject 1 :Predict the clients to increase the frequency of visits with their guests and increase the amount spent by guests on each marine trip to the destination. Also predict the propensity of a client who will repeat within 90 days & recommend most preferable destination to clients for booking.(E.g Travel with Monohull & Catamaran boat type to the destination like Thailand, UK etc..)Project 2 :Analyse & predict Lead clients who has taken quote and their propensity of conversion. Analyse the data of clients who has traveled before and find similar clients who has just taken quot, so that we can priority them for conversion.Project 3 : Analyse tealium & hubspot data to find out active clients who has browsing and email submission records in recent past, so that they can get higher rating and can be a valuable clients to contact. Key Result Areas:• Analyzing customers demographic, feedback, geographic and past contract records to build Single Customer view table.• Design Analytics Base Table (ABT) by fetching customer records from all available data sources which will be the base for future model building. • Analyse features using statistical techniques.• Document analysis process flow on every sprint.• Association Rule mining, Clustering, Cosine similarity & Classification techniques used to build predictive model.

Project Domain : Modeling for Claim ProcessingClient : Largest Manufacturing Industry in EuropeDescription: Project objective was to determine the feasibility of automating claims settlement process (minimize manual effort) & then develop Analytics based recommendation of features that will help in deciding acceptance/rejection of the claims. Claims settlement process needs to be streamlined for faster and easier handling of claims. Project executed for leading producer of premium fresh fiber paper boards in Europe.Key Result Areas:• Studying the Business Objective and gathering the Requirements. • Engaged with account team to interpret data, Analytical Model Building.• Analyse results using statistical techniques.• Presented “Analysis Results” with help of visualization using TABLEAU.

Project Domain : Business Process Automation (Discovery and Implementation)Client : Largest Food Company in USDescription: Infosys NIA is a knowledge based AI platform. It brings machine learning together with the deep knowledge of an organization to drive automation and innovation.Key Result Areas:• Involving in identifying use cases, Analyze, suggest input data to the clients, extraction, preprocessing the data, ingest the data into NIA, generate reports and graphs, involve in suggesting automation areas, areas for improvement to reduce issues.• Design, development, testing, integration of automation scripts (Shell Scripting, Python), user training.• Prepare estimations, project/release plan and road map for future releases.• Review technical design document, resolution flow chart and pseudo code and walk through accounts team & client on these documents for getting sign off to start with the development.• Support implementation of design by resolving technical issues faced by team during development, review the developed codes, deployment and support.

Project Domain : InsuranceClient : NIC, IndiaDescription: NIC – EASI (National Insurance Company Enterprise Application Solution for Insurance) is an enterprise solution built for NIC. This solution is an integration of Enterprise applications such as EBAO, Customer Relationship Management (CRM), HRMS, Master Data Management (MDM), Oracle Applications, IDM, Documentum and Oracle Business Intelligence.The core Insurance part (EBAO) is divided into two major streams, General System (GS) and the General Claim System (GCS). GS comprises of handling all the business such as new Business, Renewal and Endorsement. GCS comprises of handling all the Claims related to the policy. Integration track is responsible to integrate EBAO product which is the core part of Insurance in the project, with all other systems like CRM, MDM, IDM, HRMS, and Documentum etc. Key Result Areas:• Analyzed data and requirements for CR implementation.• Involved in creation of various service & client program implementation.• Involved in Team tracking activities.• Done QR Code implementation in Policy PDF.• Responsible for Analyzing and resolving technical issues.

Project : Employee Intranet PortalClient : PCCF, OdishaDescription: Employee Intranet Portal is a Forest department website containing all information including methodologies for conservation of forest, joint forest management, Work plan, Important Natural Heritage & etc. It also contains all forest department employee current & previous Service details. One can make registration of a newly joined employee & can able to track its posting detailsKey Result Areas:• Understanding the flow specifications and responsible for the development of the application.• Involved in designing the Module Structure.• Develop high-quality, client-specific requirements within established timelines.• Manage & coordinate with team members for smooth project development.

Project : Humanitarian Performance Monitoring System (eHPM)Client : Unicef, PhilipainesDescription: Develop rapid data collection and dissemination system using hybrid method including handheld devices, desktops and World Wide Web. Consolidated and analysis of data is automated and the computed indicator are presented as a DevInfo v7.0 adaptation as well as an interactive dashboard. On clicking various cities one can able to see interactive maps and charts giving information on prepared indicators.Key Result Areas:• Work on ODK forms for survey inputs and ODK Aggregate for managing raw data and correct error prone data.• Prepare indicators for Aggregation, manipulate data and perform aggregation on raw data set by following various indicators.• Persist and manage calculated data on database for displaying onto dashboard and in DevInfo.• Test the forms for correct user inputs in ODK Collect Tool by using tablet.• Prepare and submit reports to client for every day survey status.