Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in cloud computing,deep learning and machine learning models.
Overview
5
5
years of professional experience
5
5
years of post-secondary education
1
1
Certificate
Work History
Professional 1 Product Developer(Data Scientist)
DXC Technology / Gainwell Technologies
Bengaluru
10.2021 - Current
Received appreciation and recognition for exceptional contributions to organization
Responsibilities:
Extract public and private health data from sources to obtain overall picture of Medicaid population in various states in USA
Executed descriptive and inferential statistics to gain insight of certain public health trends, such as common diseases, insurance prices
Built Machine Learning Solutions to predict potential trends of certain issues in health, which enhanced 25% better returns in Business
Developed Classification Machine Learning Algorithms such as Neural Networks, Random forests, Nave bias, Naïve Bias and Decision trees for Disease Risk Detection and management.
Set up Clustering Algorithms such as K-Means and Hierarchical ,to detect Disease sub-types and Stages
Composed Regression Algorithms for Prediction of Medical Expenses and Health Care costs in Patient Care .
Support vector machines (SVMs) are promising methods for predicting online auto insurance patient claims.
Medicaid Payer Platform (MPP) Product Review ,Sentiment Analysis using transformers and GPT-3 is used to automate responses to customer inquiries
CT Kidney dataset was collected from PACS (Picture archiving and communication system) from different hospitals in kansas(USA) where patients were already diagnosed with having kidney tumor, cyst, normal or stone findings using CNN (Keras) and OpenCV library.
Building Document-Based Question Answering System with Lang Chain, Pinecone, and LLMs like GPT-4.
Medicaid Payer Platform(MPP) Bill invoice : text to be extracted from this invoice image using GPT-4 , AWS Textract.
Analyzed Data and Performed Data Preparation by applying historical model on data set in AZUREML,AWS Sage maker for Client Requirement and also used AZUREML ,AWS Sage maker for
production deployment.
Face detection & Tracking ,Face recognition ,Face Emotion recognition using open cv for patient portal Module in ECOI Application.
LlamaIndex (private proprietary data) : Create, Save & Load Indexes, Customize LLMs, Prompts & Embeddings for Cross walk application for Texas and Ohio Client
MLOps Deployment using Flask ,Fast api ,Stream lit , ci/cd & Docker container using K8's orchestration.
Coordinated team of 4 data scientists working on project
Improved accuracy of predictions by 18%.
Associate Product Developer (DevOps Engineer)
Gainwell Technologies, Former DXC Technology
Bengaluru
07.2018 - 10.2021
Working on Creating Multiple environments from scratch, developing logging and alerts service, automated IIS (server) reset using PowerShell Script
Worked on System requirement installations & SSRS Setup and Installation, AD and ADFS
Setup, InRule & K2 Setup & worked Release & Upgrading Deployments to Application
Outsystem ECOI ,Cross walk deployment using Azure Pipeline and store binaries in AWS S3 Bucket
Creating rst's ,Deploy resultset's and client packaging for Kansas, Virgina& Vermont using Tenant Compare Tool.
Supporting and solving Incident raised by end-users\clients
Having good knowledge on Azure, AWS cloud platforms
Hands on experience in AZURE Cloud Services
Worked on creating pipeline for Datadog and Dynatrace with Azure Active Directory (App Registrations)
Working on docker, Kubernetes, Service Fabric containerization tools
Worked on AWS Services (EC2, S3, RDS, VPC, Elastic Cache, Route53)
Project Worked On:
HPP (Healthcare Payer Platform)
Client: Kansas, Vermont, Virginia, Puerto Rico USA
Unified Agile Application Architecture (UA3), now known as DXC Healthcare Payer Platform (HPP), is multi-phased initiative established by HLS Innovations team with goal of modernizing and upgrading Healthcare Portfolio through componentization and consolidation of HPE's various HealthCare applications and platforms
Technologies Used: Technologies Used: Azure Kubernetes Service (AKS), AWS, Docker, MS Build, Azure DevOps, Service Fabric, ARM Templates, Python, Application insights, Load Balancer,Application insights, Recovery Vaults, Load Balancer , PowerShell, Datadog,.
Used critical thinking to break down problems, evaluate solutions and make decisions
Education
Advanced Certification in Data Science and AI -
IIT Madras
Chennai, TN
02.2022 - 11.2022
Bachelor of Engineering - Computer Science Engineering
Sri ChandrasekarendraSaraswathi Viswa Maha Vidyala - Deemed University