Hi.

Something about me

Dynamic Analyst with 5 years of experience in advanced data analysis, software engineering, and cloud solutions. Seeking to leverage expertise in data analysis, machine learning, and AWS for impactful outcomes through data-driven strategies and efficient cloud deployments. Open to relocation anywhere in the US and available for immediate joining.

Projects Resume

Skills

Machine learning: Numpy, Pandas, Scikit-learn, Keras, Tensorflow, Jupyter, matplotlib, seaborn, Pytorch, prompt engineering, Artificial neural networks, Convolutional neural networks, LSTMs, Recurrent neural networks, Attention models like autoencoders and generative adversarial networks, generative transformers
Data Analysis: Data pipelining, Data cleaning, Exploratory data analysis, Feature engineering, Integration with GenAI via AWS Bedrock, PySpark, Big data analytics, Hadoop
Cloud Computing: AWS solution architecture, EC2, VPC, RDS, DynamoDB, S3, Lambda, Edge computing, Auto scaling groups, Serverless architecture, IAM, Cognito, Logging and monitoring, RESTful APIs on API Gateway, Cost explorer
Mathematics: Bayesian decision theory, Statistical analysis, Linear/Logistic regression, clustering, graph models
Databases: MS SQL Server (SSIS, SSRS, SSMS, SQL Profiler, backup and restore), T-SQL, MongoDB
Software Development: Java/J2EE, Python, JavaScript (Node.js, Express.js), HTML, CSS (Bootstrap), Debugging, Optimization, Code Review
Project Management: Agile methodologies (Scrum Master for academic project), Six Sigma (Lean and Yellow Belt), Git and Github
AWS Certified Machine Learning Engineer Associate
AWS Certified Solutions Architect Associate
AWS Certified AI Practitioner

Work Experience

Accenture

• Led end-to-end cloud migration of an on-premises Hilton Property Management System (PMS) on AWS using EC2 (Windows Server), AWS RDS for SQL Server, S3, Elastic Load Balancing, and Auto Scaling to maintain system stability and minimize hardware maintenance during COVID.
• Analyzed 10+ TB of transactional and guest behavior data using PySpark during COVID (North America), developing predictive machine learning models with 80% accuracy to forecast customer reservations and optimize inventory management during global disruptions.
• Wrote CloudFormation + PowerShell scripts to automate Amazon Windows Server re-builds and reduce dependency on third parties in setting up new environments by 60%.
• Architected a scalable data warehouse on Amazon Redshift to unify transactional, reservation, and third-party data, enabling cross-functional teams to access the data securely and reliably.
• Leveraged natural language processing (NLP) techniques to analyze guest reviews and social media feedback in the North America region, helping executives monitor various hotels' key performance indicators.
• Created machine learning models (using data gathered from patch failures in AWS RDS, reported incidents in Service Now, and hotfixes deployed over time) to analyze patterns in reported hotel incidents and equipment failures across 5,000+ properties.
• Led and implemented multiple Six Sigma Lean and Yellow Belt projects, integrating ServiceNow, MS SQL Server, PowerShell, and AWS to streamline business processes, eliminate bottlenecks, and accelerate critical incident resolution by 50%.
• Automated patch deployment for Hilton’s OnQ PMS across 6,000+ databases using AWS lambda, MS SQL Server, and EC2 reducing manual effort by 80% and ensuring 99.9% uptime during critical booking periods.
• Created interactive dashboards (SNOW, Tableau) for executive stakeholders, translating complex datasets into actionable insights for hospitality service enhancements.
• Resolved 150+ platform issues annually, from scripting errors to integration failures, achieving a 98% end-user satisfaction rate through SLA-driven support.
• Implemented cost-optimized cloud storage strategies on AWS S3, RDS, and Redshift cutting annual infrastructure expenses by 22% while maintaining 99.9% uptime for mission-critical hotel operations.
• Migrated Hilton's legacy reservation analytics to a serverless AWS architecture (S3, Athena, Glue), enabling effective tracking of KPIs.

Tech9logy Creators

• Designed proof of concepts for Cosmo Films with Python and AWS, demonstrating the feasibility of managed AWS architecture.
• Developed RESTful APIs (AWS API Gateway) to connect the Cosmo Films' legacy Budgets and Assets Portal system with new portal, improving data sync efficiency by 70%.
• Built a supply chain analytics dashboard (AWS Postgres, Tableau) for Cosmo Films, visualizing client's inventory metrics for executives.
• Deployed Elastic Load Balancing for Tasty Tweets’ website, making the system more reliable and traffic spikes friendly.
• Built and launched a custom e-commerce platform for Tasty Tweets using Node and React, enabling the business to sale and deliver online.

Education

Master of Science - Computer Science

Stevens Institue of Technology, Hoboken, NJ, USA

GPA: 3.96
Coursework: Data Structures, Algorithms, Agile Development, Machine Learning, Deep Learning, Big Data

Bachelor of Technology - Electrical and Electronics Engineering

Vellore Institue of Technology, Vellore, TN, India

GPA: 3.0
Thesis: Optimal Placement and Sizing of Distributed Generations Units using Sine Cosine Algorithm