Nikhil Raghupatruni - Data Analytics/ ML Engineer |
[email protected] |
Location: Houston, Texas, USA |
Relocation: |
Visa: H-1 B |
Nikhil Raghupatruni
Ph no.: +16363230199 Email: [email protected] Professional Summary Experienced Consultant with a demonstrated history of around 10 years working in the information technology and service industry. Terraform Associate Level HashiCorp Certified Experience in Python Programming and Tkinter. Experience with AWS Glue , AWS Lambda , DynamoDB , SNS , API Gateway , AWS S3, DynamoDB Experience as a Big Data Engineer in designing data intensive applications using Hadoop system , Cloud data Engineering. Experience with Pyspark. Improving the performance and optimization of the existing algorithms using Spark. Experience with working and deployment of writing Fraud rules for FALCON application. Experience in creating Cloud Resources with Terraform. Experience with working in Python, AWS Serverless services and terraform. Experience in Python Data Science concepts like NumPy, Pandas and Matplotlib. Experience in a fast-paced Agile/Scrum environment. Worked with project stakeholders to groom backlog tasks and plan 1-week sprint cycles. Collaborated with the product, business, marketing and engineering teams to develop and maintain product backlogs. Creating and managing Portfolio Plans on JIRA to enhance transparency and visibility for business and technology. Experience with Business Intelligence tools like Tableau. Experience in Data Analytics using Excel. Experience with Azure AD for integrating the Client API requests. Experience gathering requirements for a data warehouse or similar data solutions. Collaborate with business stakeholders to develop and document policies and procedures surrounding Data Governance Proven experience as a BI Developer, with a focus on Tableau and PowerBI. Experience in designing Informatica Process to extract the data. Experience with working in Insurance Domain. Experience on open-source technologies including html, CSS, JavaScript and Reacts js. Strong Interpersonal and communication skills, ability to work in a team as well as Independently with minimal supervision. Skills Profile Technical Operating System Windows, Linux, Mac OS, Ubuntu Environment Client/Server, Unix/Linux environment. Database SQL Server, ADO.NET, MySQL Internet Tools HTML5, CSS3, Bootstrap, JSON, JavaScript , ReactJS Languages C#, Python Web-Frameworks Flask Version Control GIT, TFS, Gitlab Python Libraries NumPy, Pandas, Matplotlib, PyTorch, BERT, NLP IAC Tools/ Devops/Visualization Tools Terraform , CI/CD Pipeline, Tableau Data Governance Tools Collibra Other Technologies/ Skills Pyspark , AWS Lambda, AWS Api Gateway, AWS Step Functions, Athena, AWS Glue , SNS , FALCON Rule Writing , AWS Glue , AWS Athena , Redshift , EC2 ,Route53 Management and Leadership Skills Ability to produce realistic software schedules, Development. Motivated problem solver with strong analytical skills. Professional Experience (In Reverse Chronological Sequence) Organization Name Capgemini America Inc Client Name State Farm Insurance Companies Project Name DCS Project Duration (From & To in Month/Year Format) July 23 ,2021 Till Date Role/Title Data Analytics/ ML Engineer Work Location Remote Project Description E2E Integrated Workflow Automation is designed to do E2E Validation, including count and content, for a given policy or Agreement ID and also to use as debussing tool for production issues. Personal Lines Auto and Fire Integration Test and BAT runs large column of scenarios for which this validation must occur in downstream which includes multiple process and validation rules to be validated as data transforms, ingested, optimized and provisioned for consumption Responsibilities Project 1: DCS Data Consumption July 23 Till Date Project 2: DCS EIWA Oct 11th Till Date Project 3 : DCS - Dashboard Nov15th 2022 - Till Date Project 4: DCS - PCM Rating June 10th - Till Date Lead the team to create Enterprise Data Lake on the Azure Cloud of various data sources from the AWS. Lead the team of Data Engineers and Data Scientist to develop various ML models for real time API serving predictions. Responsible for creating API Gateway, Step functions, Lambda, DynamoDB using Terraform. Responsible for integrating CI/CD pipeline using Gitlab Responsible for writing Lambda function code for various Views. Responsible for writing unit testing code for various components. Responsible for Code Review. Participate in weekly scrum meetings and daily stand-up meetings Responsible for creating Glue Job using Terraform and building the function code using Pyspark. Responsible for designing single page applications using HTML , CSS and Javascript. Responsible for creating various POC s. Managing Offshore team Collaborate with business stakeholders to develop and document policies and procedures surrounding Data Governance Develop best practices, standards, and methodologies to assist in the implementation and execution of Data Governance Manage workflow process in collibra via Activiti . Operating Systems Windows Software / Special Tools PyCharm, AWS, Python, Docker, Postman, GitLab Agile Scrum, Jupyter Notebook, behave module, GIT, AWS ApiGateWay, AWS Lambda, AWS Athena and other AWS services etc., CI/CD Pipelines, Terraform , Glue, Collibra,Informatica . Languages Python 3.x Organization Name Capgemini America Inc Client Name Discover Financial Services Project Name FALCON Fraud Project Duration (From & To in Month/Year Format) April 2018 June 1, 2021 Role/Title Data Analytics/ ML Engineer Work Location Houston, Texas Project Description Global Payments Fraud Platform Migration - Pulse, applications those are currently running on ACI PRISM (ACI Fraud Product) are getting upgraded into in house Falcon 6.4.1.4 UNIX version. New Interface has been built to manage the routing of transactions from Switch to Falcon 6.1.1.4. This platform will be used for debit acquiring transactions and will also act as decision maker for some financial institutions those are enrolled for the blocking service. Responsibilities Project 1: Project FALCON July 23 June 1, 2021 Project 2: Score Engine Oct 11th June 1, 2021 Responsible for gathering requirements from analysts regarding the rules, development, testing and then part of deployment and Validation. Develop new features in Rule Builder Application for creating Falcon Fraud rules based on Fraud Activity and Fraud Rule Peer review using Python and Tkinter to automate. Created Business logic using Python to create Planning and Tracking functions Performed data extraction and manipulation over large local datasets using SQL in Teradata. Created Unit test files to enable testing utilizing Python code. Version control using Git. Writing every day Rules based on the requirements from the Banks on FALCON Fraud Production Expert and Bench Expert and making it ready for noon and evening deployment. Build a Python Process through Robotic Process Automation (RPA) to automate the Fraud Rule Coding Involving in peer -review of the rules with the FRAUD-OPS analysts on FALCON Rule Audit application and uploading the scheduler to start deployment after form confirmation. Validating all the rules after deployment in Rule audit application for both Production Expert and Bench Expert. Interfacing with analysts to ensure production deadlines are met. Involved in Data Cleaning and Extracting data through Pandas, Numpy. Operating Systems Windows Software / Special Tools Visual Studio Enterprise, Teradata, SQL, GitHub, IDLE Python, Ultra Edit, FALCON Fraud Manager Expert, FALCON Rule Audit tool, FALCON Case Manager, Agile Scrum, Robotic Process Automation, Java, Tkinter, Jupyter Notebook , Power BI, AWS Sagemaker. Languages Python 3.x Organization Name SmartWorks, LLC Client Name Computer Aid Inc, Project Name 1. United Sates Animal Laboratory Management Software (USALIMS) 1. United States Animal Health Emergency & Reporting Diagnostics (USAHEARD s) Project Duration (From & To in Month/Year Format) November 2015 April 2018 Role/Title Software Engineer, ML Work Location Harrisburg PA Project Description United Sates Animal Laboratory Management Software is a smart client application designed to provide comprehension support for all administrative workflow in animal laboratories. It manages all the data related to the specimens, accessions, test results etc. It also provides automated client report generation, distribution and advance search options. United States Animal Health Emergency Reporting Diagnostics is a Animal Health data. It provides all the data elements needed by the states to manage and monitor animal health within their Jurisdiction, report test results to USDA s Veterinary Services, and prevent, Control, eradicate and recover from disease and all the hazard incidents at the local level. Responsibilities Consult and interact with business users and business analysts to ensure proper requirements are defined and details are identified for application needs. Design new features and bug fixes in existing front-end part of the application using HTML Template, CSS, Developing new features and/or maintaining existing applications in multi-tier web application in Microsoft .NET framework using ASP.NET MVC and VB.net Maintain the source code using Microsoft Team Foundation Server (TFS) Prepare Test case documentation Work Closely with Quality Assurance team to fix the issues during development Provide training and support for our users to ensure they are able to successaleully utilize our tools and have the knowledge to self-serve themselves. Operating Systems Windows Software / Special Tools Agile Scrum, .Net framework 4.5, ASP.NET, ADO.NET, Bootstrap 3.0, CSS 3.0, HTML 5.0 , JavaScript , Visual Studio 2013/2015, TFS, SQL Server 2012, IIS Languages VB.net, C# Organization Name Megatech Client Name Synchrony Financial Project Name HighYeild Savings Account Project Duration (From & To in Month/Year Format) June 2013 April 2015 Role/Title Software Engineer Work Location Hyderabad, India Responsibilities Gathered Client requirements and converting them into the Technical Specifications and developed Web forms using C#.NET. Applications logic was developed using C# and used HTML and SVG to generate layouts Implemented MVC framework to reduce the complexity and to get full control over the behavior of the application. Rewrote legacy corporate banking module, from classic ASP and XML/XSLT to ASP.Net, HTML, CSS, JavaScript, ORM (Object-Related Modeling), WCF and AngularJS, as part of a major update. Used Microsoft Entity Framework Code First approach for the Data Access Layer for theASP.NET MVC 3 application. Designed GUI using the HTML, Java Script, CSS, Jason and Custom Controls. Keywords: csharp continuous integration continuous deployment machine learning javascript business intelligence sthree active directory information technology Idaho Pennsylvania |