Yashwanth Goduguchintha

Experience: Professional1 Product Developer (Data Scientist), Bangalore

Achievements:
.Received appreciation and recognition for the exceptional contribution in the organization
Responsibilities:
.Extract public and private health data from sources to obtain overall picture about the Medicaid population in various states of
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 20% better returns in
Business
.Developed Classification Machine Learning Algorithms such as Neural Networks, Random Forest and Naïve Bias for Disease
Risk Detection 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
.Coordinated a team of 4 data scientists working on project
.Improved the accuracy of predictions by 18%

Experience: Associate Product Developer (DevOps Engineer), Bangalore

Gainwell Technologies (Former DXC Technology) – July’18 -Oct’ 21

• 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.

• Working on SR’s & Incidents related Environment Upgrades & Application issues.

•Supporting and solving Incident raised by end-users\clients

• Having good knowledge on Azure, AWS cloud platforms.

• Hands on experience in AZURE Cloud Services: (ARM Templates, Virtual Network,

NSG, Networking, Application Gateway, VM Scale Sets, DNS, Application Insights,

DNS, Private Link, Load Balancers, Storage Accounts, Bastion, Log Analytics

Workspace, Azure Alerts, AKS, Service Fabric Clusters, Containers,Azure cache for redis, Recovery Services

vaults, Databases, Automation Accounts, Computing services).

•Working on creating pipeline for GIT & GITHUB, Datadog ,Dynatrace.

• Working on docker, Kubernetes, Service Fabric containerization tools.

• Working on AWS Services (EC2, S3, RDS, CloudFront, VPC, Elastic Cache, Route53)

Project Worked On:

HPP (Healthcare Payer Platform)

Client: Kansas, Vermont, Virginia, Puerto Rico USA.

The Unified Agile Application Architecture (UA3), now known as the DXC Healthcare Payer Platform

(HPP), is a multi-phased initiative established by the HLS Innovations team with the goal of

modernizing and upgrading our Healthcare Portfolio through the componentization and consolidation

of HPE's various HealthCare applications and platforms.

Technologies Used: ARM Templates, PowerShell, Python, KQL (Kusto for log analytics),

Application insights, Recovery Vaults, Load Balancer, Azure Automation for OS Upgrades, Active Directory, Azure DevOps, TFS & Azure Services., Azure Kubernetes Service (AKS), AWS, Docker, MS Build, Azure,Dynatrace, Datadog.