Hi, I'm Someswararao Tarra
Cloud & DevOps Engineer|Data Science Professional
I build cloud infrastructure, automate workflows, troubleshoot Linux systems, and develop data-driven solutions using AWS, DevOps tools, Python, and machine learning.

My Journey & Mission
Aspiring IT Professional bridging Cloud Infrastructure and Data-Driven Decision Making.
Hi! I'm Someswararao Tarra, based in Hyderabad, Telangana, India. I recently completed my M.Sc. in Data Science (2025) from VIT Vellore (CGPA 8.60) and hold a B.Sc. in Mathematics, Physics & Computer Science from Padmavathi Degree College (CGPA 8.50).
I have hands-on experience in Linux Administration, Bash Scripting, Git/GitHub, AWS fundamentals, Python, SQL, Data Analytics, and Machine Learning. During my internship at SentinelGuard AI, I engineered ML models that improved predictive accuracy by 15% and processed 5M+ records using Python and SQL.
I'm passionate about automation, cloud technologies, cybersecurity, and data-driven decision-making — building systems that host, process, and secure data at scale.
Seeking entry-level opportunities in Linux Administration, DevOps, SOC Analyst, or Data Science roles.
Hyderabad, Telangana, India
Cloud / DevOps / Data Science / ML
M.Sc. Data Science — VIT Vellore
Completed M.Sc. in Data Science in 2025 from VIT Vellore (CGPA 8.60), building a strong foundation in statistics, ML, and programming.
Cloud, DevOps & Linux Enthusiast
Hands-on with AWS (EC2, VPC, RDS, IAM, Route 53, ACM, CloudFront, S3, EFS, EBS), Linux administration, Bash scripting, and automation pipelines.
Data-Driven Developer
Proficient in Python, R, SQL, Pandas, NumPy, Power BI, and ML frameworks — delivering predictive models and data insights from real datasets.
Technical Competencies
AWS Cloud
DevOps & Automation
Linux & Scripting
Programming
Data Science & Machine Learning
Cloud & DevOps Labs
AWS VPC Architecture
Recruiters and applications require secure network isolation patterns where backend infrastructure is hidden from public access while maintaining controlled internet gateways.
Designed a VPC with public and private subnets across multiple availability zones, route tables, an Internet Gateway (IGW) for public servers, and a NAT Gateway for secure outbound private subnet routing.
Understood public vs. private subnets, routing tables, and the role of NAT Gateways in preventing incoming traffic to private instances while permitting outgoing requests.
Private EC2 Connectivity
Direct SSH access to private subnet instances poses severe security risks and exposes resources to public penetration attempts.
Configured secure connectivity models utilizing Bastion Hosts (Jump Boxes) and AWS Systems Manager Session Manager, restricting port access via Security Groups.
Mastered multi-hop SSH routing configurations, transit rules, and IAM permissions required to execute secure, keyless SSM-based shell access.
VPC Peering Lab
Applications residing in separate isolated AWS networks (VPCs) need to exchange data securely without traversing the public internet.
Built VPC peering connectivity between two distinct VPCs. Configured corresponding route tables, resolved CIDR block conflicts, and security rules.
Learned how CIDR blocks overlap checks work, how to create peering requests and accept them, and how route tables handle trans-VPC network routes.
Load Balancer & Health Checks
Ensuring high availability and load distribution across multiple web servers while isolating unhealthy node failures.
Configured target groups and an Application Load Balancer (ALB) to handle incoming requests. Established custom HTTP path checks to run regular health monitors.
Acquired deep understanding of load balancing layers (Layer 7), path-based routing, target group registrations, and automatic traffic redirection from failing instances.
Linux Server Troubleshooting
Servers routinely crash due to disk capacity exhausts, permission blocks, high CPU/Memory load spikes, or listening port conflicts.
Simulated and successfully resolved real-world production outages: diagnosing SSH failures, high CPU/memory spikes, disk-full bottlenecks, systemd service crashes, and port conflicts.
Learned to triage system limits, read service logs via journalctl, isolate disk bloats, and identify process port usage dynamically to restore operation.
Shell Automation
Repetitive system maintenance, log rotation, and server backups consume manual hours and are prone to human operational error.
Created production-ready Bash scripts that automate system health checks, log file rotations, folder backups, conditional process checks, and cron scheduling.
Gained proficiency in write-safe bash scripting using error handling (set -e), environment variables, conditional checks, loop structures, and automated scheduling.
AWS ECS Fargate CI/CD Pipeline (Terraform)
Manual container deployments lead to configuration drift, deployment downtime, and brittle environments without reproducible infrastructure or automated CI/CD.
Built modular Terraform IaC to provision multi-AZ VPC, ALB, and serverless AWS ECS Fargate. Automated GitHub webhook-triggered Jenkins CI/CD to build Docker images, push to Amazon ECR, and orchestrate zero-downtime rolling deployments.
Mastered end-to-end Infrastructure as Code with reusable modules & S3 remote state, Dockerized deployments, automated Jenkins webhooks, and ECS rolling updates.
Featured Projects
Academic and personal projects demonstrating applied Data Science, Machine Learning, and Cloud Engineering skills.
Disease & Pest Detection in Coffee Leaves using Efficient DET Algorithm & CNN
Designed and deployed a CNN with the Efficient DET algorithm achieving 96.71% accuracy for early disease detection in coffee plants. The model enables early intervention strategies that minimize crop losses at scale.
- 96.71% test accuracy on disease classification
- Deployed CNN + Efficient DET pipeline
- Enables early-stage crop loss prevention
National GDP Prediction using Time Series, Deep Learning & Hybrid Models
Engineered a hybrid ARIMA-GRU model to forecast national GDP with a 37% reduction in forecast error (RMSE 122, R² 0.9998). Applied wavelet transforms and outlier smoothing to optimize data quality before modelling.
- 37% reduction in forecast error vs. traditional methods
- RMSE: 122, R²: 0.9998
- Hybrid ARIMA-GRU architecture
Cryptocurrency Price Prediction using Time Series Analysis
Built and compared ARIMA and LSTM forecasting models to predict volatile cryptocurrency price trends using historical exchange data. Enhanced model reliability by 18% through iterative architecture improvements.
- 18% improvement in prediction reliability
- ARIMA vs LSTM model comparison
- Historical price trend forecasting
AWS Three-Tier Web Architecture
Architected and deployed a highly available, secure, and resilient 3-tier web architecture on AWS across multiple Availability Zones, implementing Web, Application, and Database tier isolation.
- Multi-AZ VPC with public, private app, and isolated DB subnets across 2 Availability Zones
- CloudFront CDN & S3 static frontend with SSL/TLS termination via AWS Certificate Manager (ACM) & Route 53 DNS
- App Tier EC2 Auto Scaling Groups behind ALB with Amazon EFS & EBS for scalable state & persistent storage
- Database Tier Multi-AZ Amazon RDS with automated failover, IAM authentication, and Security Group / NACL isolation
AWS VPC with Servers in Private Subnets & NAT Gateway
Designed and implemented a secure AWS network infrastructure featuring a custom VPC, public and private subnets, NAT Gateways for outbound internet connectivity, and isolated application servers, based on AWS official guidelines.
- Configured NAT Gateways to enable private subnet resources to reach the internet securely
- Implemented robust network isolation using private subnets for application servers
- Set up custom route tables, security groups, and internet gateways for strict access control
AWS ECS Fargate CI/CD Pipeline using Terraform
Engineered an end-to-end automated CI/CD pipeline deploying containerized microservices to AWS ECS Fargate using modular Terraform Infrastructure as Code (IaC), Jenkins, and Amazon ECR.
- Modular Terraform IaC provisioning custom multi-AZ VPC, subnets, NAT Gateways, and S3 remote state backend
- Automated Jenkins pipeline with GitHub webhooks for Docker builds, linting, and automated Amazon ECR image push
- Serverless container deployment on Amazon ECS Fargate with zero-downtime rolling task definition updates
- Application Load Balancer (ALB) traffic routing, target group health checks, and AWS CloudWatch logging
Certifications & Goals
Active Certifications
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle Cloud Infrastructure (OCI)
Currently Preparing For
AWS Certifications
Amazon Web Services
Actively studying for AWS certifications (such as Cloud Practitioner or Solutions Architect Associate) to validate practical networking, IAM, VPC, and EC2 experience.
Certificates & Achievements
A collection of certifications, virtual job simulations, and achievement badges earned through dedicated learning and practical experience.
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle
CloudOctober 2025

Data Science Internship – SentinelGuard AI (VIT)
SentinelGuard AI / VIT
InternshipOct 2024 – Nov 2024
BCG X Generative AI Job Simulation
BCG X / Forage
Data Science2025
TATA Group – GenAI Data Analytics Job Simulation
TATA / Forage
Data Science2025
Deloitte Data Analytics Virtual Experience
Deloitte / Forage
Data Science2025
JP Morgan – Quantitative Research Job Simulation
JP Morgan / Forage
Data Science2025
British Airways Data Science Job Simulation
British Airways / Forage
Data Science2025
SQL Using AI Workshop
Workshop Certification
Technical2025
Microsoft Power BI
Power BI Certification
Technical2025
LCAT Certificate
LCAT
Achievement2025

CSS Development – CodeKaro
CodeKaro
Technical2025
11
Total Certificates
1
Cloud Certifications
5
Job Simulations
3
Technical Skills
Academic & Career History
Data Science Intern
- Developed and integrated a custom CNN model on SentinelGuard AI platforms, improving prediction accuracy by 15% across real-world testing environments.
- Managed preprocessing and feature extraction on structured datasets containing 5M+ sensor events using Python, pandas, and SQL databases.
- Collaborated in design pipelines to write automation test scripts validating local server processes and deployment containers.
Master of Science (M.Sc.) in Data Science
Key Core Coursework
Bachelor of Science – Mathematics, Physics & Computer Science
Board of Intermediate Education
Board of Secondary Education
Let's Build Something Meaningful
Get In Touch
I'm open to opportunities in Cloud Engineering, DevOps, Linux Systems Administration, Infrastructure Operations, Data Science, and Machine Learning engineering roles. Drop a message or connect through social channels.
