Atul Gupta

Something about me

I am an experienced, data-driven professional with over 5 years of experience in technology. I specialize in machine learning, data analysis, and software engineering. I am proficient in Python programming, SQL, and AWS and can build end to end AI products at scale. I have worked at Accenture for a large client in hospitality industry as an application/database analyst, where I got deep exposure to data at global scale and the challenges that come with it. It was a remarkable learning experience that not only taught me how to handle unimaginably large amounts of data, but also how to use it to find hidden patterns and meaning. That motivated me to learn more. So I did masters in computer science with a specialized focus on Machine Learning. This was also the time ChatGPT rolled out, proving once again what large amounts of data can do only if it is harnessed properly. I have deep expertise in python, AWS, machine learning, and generative AI. However, these are just tools that help me work on the real thing - data.

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

• Performed end-to-end cloud migration of on-premises Hilton Property Management System (PMS) to a secure AWS environment (RDS for SQL Server, EC2 S3, Lambda, IAM), during COVID-19 disruptions.
• Engineered cloud-native ETL and ELT pipelines to analyze 10+ terabytes of transactional and guest behavior data from Amazon Redshift.
• Developed an ensemble ML model (XGBoost + LSTM) with 80% accuracy to forecast reservations enabling dynamic inventory allocation reducing costs and making staffing more efficient during COVID-19 disruption.
• Created guest churn prediction program for Hilton Honors loyalty program enabling targeted marketing campaigns to reduce churn. Integrated data from various sources and created an XGBoost model on 2+ years of historical data.
• Deployed the churn model on Sagemaker, set up batch re-training via sagemaker pipelines, and set up alerts to notify CRM teams if the churn probability exceeded a threshold.
• Evolved the patch deployment solution by implementing new features to re-install patches, check for pre-requisites, remediate known failures, create detailed reports on installation, and notify concerned teams via emails.
• Led and implemented multiple Six Sigma Lean and Yellow Belt projects, integrating ServiceNow, Python, 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+ Linux Servers worldwide via a python backend application (with shell scripting) to reduce manual effort by 80%, down-times by 90% and enforced process compliance by minimizing human errors.
• Resolved 150+ unique critical issues by understanding enterprise application architecture in-depth, conducted knowledge transfer sessions with a team of 30, and presented root cause analysis to client executives.
• Managed 6000 production database instances worldwide ensuring consistency, reliability, and durability of the data. Created new SQL stored procedures and jobs to ensure compliance with existing rules and regulations globally.
• Created interactive dashboards for executive stakeholders, integrating data from Redshift warehouse with on-premises logs and databases, to translate large and complex datasets into actionable insights for hospitality service enhancements.

Tech9logy Creators

• Designed proof of concepts (PoC) for Cosmo Films with Python and AWS, demonstrating the feasibility of managed AWS architecture in improving performance and optimizing costs.
• Prototyped the PoCs on serverless AWS architecture (S3, Lambda, DynamoDB) for test runs and presented the findings to the client.
• Built and launched a custom e-commerce platform for Tasty Tweets, a local bakery, enabling them to take online orders and schedule deliveries.

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

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