About Me

I am an aspiring Data Scientist with a master’s degree in Cloud Data Management and about 3 years of industry experience in DevOps and Data Analytics. Working with data has always felt natural to me—I enjoy exploring it, finding patterns, and turning it into insights that can solve real problems.

Beyond my professional work, I’ve built projects like Credit Risk Prediction, Healthcare Insurance Premium Modeling, and Car Damage Detection using Neural Networks and Transfer Learning. These projects helped me strengthen my skills and apply data science to practical challenges.

What I bring:
• Data analysis & visualization
• Machine learning & neural networks
• Predictive modeling & transfer learning
• MLOps tools (AWS, MLflow, Airflow, Kubernetes)
• Cloud data management & data engineering

I’m excited to keep growing as a data scientist and to join a team where I can use my skills to create data-driven solutions that make an impact.

Key Skills

Python

SQL

Scikit-learn

PyTorch

Predictive Modeling

DevOps

MLOps

Neural Networks

Transformers

My Projects

Health Insurance Cost Predictor Model

Domain/Function: Healthcare | Predictive Analytics | Insurance

My Experience

Junior Data Analyst

VVR Technologies, Hyderabad, India (Aug 2022 – May 2023)

Project: PNC Bank

Objective: Improve credit risk scoring by building predictive models and dashboards for underwriting and customer segmentation.

Key contributions:

Collected and processed customer demographic, credit history, and transaction data.
Used SQL and Python to clean, normalize, and handle missing or inconsistent records.
Performed univariate and multivariate analysis to detect trends in payment patterns, default triggers, and high-risk behaviors.
Visualized data distributions and segment overlaps using boxplots, heatmaps, and feature importance graphs.
Created features from payment delays, balance utilization, loan-to-income ratio, and frequency of missed payments.
Reduced dimensionality using PCA and removed collinear variables via correlation matrix analysis.
Trained and tuned models including Logistic Regression, Random Forest, and XGBoost to predict default probability and rank customer risk.
Achieved high AUC (~0.85) while reducing false positives by 20%.
Helped underwriters identify risky profiles early and prioritize customer outreach.
Enabled more personalized insurance offerings through customer clustering and segmentation.
Orchestrated data ingestion, model training, and scoring using Airflow, with real-time scoring in AWS Lambda.
Integrated performance monitoring with AWS CloudWatch, setting up alerts for drift and data anomalies.
Developed Power BI dashboards that visualized credit risk scores, prediction confidence, and customer clusters.

AWS DevOps Engineer

Techolution India Pvt Ltd, Hyderabad, India (July 2020 – Aug 2022)

Project: Sonic Drive-In (USA)

Expert in Git for effective source code management, including complex merges, rebases, pull requests, and implementing branching strategies for streamlined development workflows.
Worked cross-functionally with cloud and development teams to deliver secure and reliable cloud infrastructure for US-based clients.
Proficient in end-to-end CI/CD pipeline development using tools like Jenkins, GoCD, GitHub Actions, and CircleCI, achieving faster, reliable deployments and automating testing workflows.
Skilled in Infrastructure as Code (IaC) using Terraform for provisioning scalable and secure infrastructure and integrating HashiCorp Vault for secret management.
Expertise in designing and maintaining environments across Stage, Pre-Production, and Production, ensuring seamless integration and reliability.
Designed and maintained network architecture across VPCs, subnets, security groups, and route tables, ensuring secure and scalable communication between services.
Used Kubernetes for orchestrating Docker containers and managed services via Helm, ConfigMaps, and Secrets.
Built and maintained dashboards in Grafana and CloudWatch to monitor metrics and proactively handle incidents.
Experience with JIRA and Confluence for project management, documentation, and agile development workflows.

AWS DevOps Engineer Intern
Techolution India Pvt Ltd, Hyderabad, India (Dec 2019 – Jun 2020)

Maintained and deployed AWS services to contribute to team efficiency and project timelines.
Developed Python and shell automation scripts to automate the common ground for regular tasks by 40%.
Assisted in deploying and maintaining AWS environments and ensured best practices around security and cost-efficiency.