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Data Science with 1+ years in Data Analytics & Cloud.
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Assessing your cultural and operational fit
Computer Science graduate with hands-on experience in Data Analytics, Cloud Computing, and DevOps practices. Skilled in SQL, Power BI, Python, AWS, Linux, Git, Docker, Jenkins, Kubernetes and Terraform basics. Experienced in building interactive dashboards, automating CI/CD pipelines, deploying applications on cloud infrastructure, and developing data-driven solutions. Passionate about Cloud, DevOps, MLOps, and Business Analytics.
Kendriya Vidyalaya RWF
Schooling
N/A – Present
Sai Vidya Institute of Technology
Bachelor of Engineering · Computer Science
N/A – June 30, 2026
MS Ramaiah Institute of Polytechnic
Diploma · Computer Science
N/A – Present
Indian Railways
Power BI Developer Intern
December 1, 2025 – May 31, 2026
India
MicroDegree / Besant Technologies
DevOps Trainee Intern
August 1, 2025 – November 30, 2025
India
User Funnel & Retention Analysis
January 1, 2025 – June 1, 2025
• Analyzed customer onboarding and engagement data to identify user drop-off points. • Performed cohort analysis and retention tracking using SQL and Python. • Created Power BI dashboards to visualize user behavior and retention trends. • Generated actionable insights to improve onboarding effectiveness.
E-Commerce Supply Chain Risk Analysis
January 1, 2025 – June 1, 2025
• Analyzed logistics and warehouse datasets to identify shipment delays and inventory risks. • Performed data cleaning, transformation, and exploratory data analysis using Python. • Developed a machine learning model to predict high-risk shipments. • Provided recommendations to improve supply chain efficiency and operational planning.
MLOps Model Deployment Pipeline
January 1, 2025 – June 1, 2025
• Developed an end-to-end machine learning workflow for training, versioning, and deployment of classification models. • Utilized MLflow for experiment tracking and model version management. • Containerized the model-serving application using Docker. • Stored model artifacts in AWS S3 and automated deployment workflows using GitHub Actions.
CI/CD Pipeline Automation
January 1, 2025 – June 1, 2025
• Built a Jenkins pipeline to automate code checkout, build, testing, and deployment processes. • Integrated GitHub webhooks to trigger automated CI/CD workflows. • Containerized applications using Docker and deployed workloads on Kubernetes clusters. • Deployed applications on AWS EC2 and improved deployment consistency by reducing manual intervention.
Professional DevOps Training
Besant Technologies
June 1, 2026 – Present
Power BI Masterclass
Udemy
June 1, 2026 – Present
Python Programming
Infosys Springboard
June 1, 2026 – Present
AWS Certified Solutions Architect - Associate
AWS
June 1, 2026 – Present
Specialized DevOps Cloud Training
MicroDegree
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, spanning data analytics, MLOps, and CI/CD, demonstrates a broad interest in various technical domains. While the target role is Data Science, the strong DevOps and Cloud background suggests adaptability and a willingness to learn and contribute across different technical areas. The personal projects indicate self-motivation and initiative, which are positive indicators for cultural fit in a dynamic environment. However, the primary focus on DevOps in internships and some projects might indicate a slight misalignment with a pure Data Science role, requiring a deeper dive into their passion for data science specifically.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from data analysis to model deployment, suggesting a proactive and problem-solving approach. The internships show exposure to real-world reporting and CI/CD processes, indicating an ability to integrate into operational workflows. However, without direct interview data, specific soft skills like teamwork, communication, and stress handling cannot be fully assessed.