Dhanunjaya N

About Dhanunjaya N

7+ years of professional IT expertise in Data Science, Machine Learning, Reinforcement Learning, Predictive Analytics, project development, implementation, deployment, and maintenance using Big data technologies.• Good Understanding of Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory, Azure Data Bricks.• Setting Up AWS and Microsoft Azure with Data bricks, Data bricks Workspace for Business Analytics, Manage Clusters in Data bricks.• Worked on end - to-end data pipeline starting from data collection, cleaning, pre-processing, model building and deploying.• Implemented short-term and long-term Data Science & Analytics strategies for the current business problem and presented innovative solutions to the clients.• Designed and developed front-end and back-end applications with machine learning capabilities (Python, PHP, JavaScript/NodeJS). Utilizing web frameworks like Django, Flask, Laravel, ReactJS and Vue JS.• Tech led for multiple production AI/ML projects, leading teams of 7+ Software and ML engineers.• Automated machine learning pipelines in Kubeflow.• Worked with Business Analyst’s and Product Managers to frame a problem, both mathematically and within the business context.• Researched and applied machine learning algorithms in the areas of analytics, computer-vision, NLP and time series analysis.• Technical expertise with data models, data mining, and segmentation techniques.• Expertise in integrating machine learning solutions with Hadoop, Spark, Python, SQL, Ab Initio, AWS.• Processed the data from Kafka pipelines from topics and show the real-time streaming in dashboards.• Experienced in leveraging AI & Machine learning capabilities in smart factories to provide hyper automation and real time analytics.• Working knowledge on various deployment tools like docker, Kubernetes and Jenkins.• Develop & Implement NLP models (topic modeling, semantic search, Q&A answering, chatbots, etc.) for real-time inference on text data.• Delivered multiple ML solutions in Cloud for the Sales and Marketing team, that directly contributed to the top-line growth of the business.• Define clear target performance metrics from ambiguous the client\'s requirement and accomplish them at a fast pace.• Adept at multitasking, working independently, and as part of a team as required. Very flexible at adapting to changing client needs and deadlines. Possesses strong problem-solving and communication skills.

Experience

1. Machine Learning Engineer

   United Airlines

   Aug 2024 — Present · Houston, TX, US

   Cut AI infrastructure costs by 60% by replacing GPT-3 with a fine-tuned in-house T5 transformer — same performance, fraction of the spend.Built buyer-prediction neural network on large prospect lists achieving AUC of 0.81, reducing manual sales analyst effort by ~40%.Fine-tuned GPT-3 for cold email personalization — lifted open rates by 20%, response rates by 4%, and conversion rates by 2%.Developed Reinforcement Learning forecasting agent that reduced demand forecast deviation from 15% to 3%.Deployed ensemble credit-risk models on AWS SageMaker via CI/CD, accelerating credit assessment while improving prediction accuracy.Built Power BI-integrated BI tool combining AI recommendations with historical campaign data — users reported 10% increase in sales.Delivered end-to-end MLOps framework covering feature engineering, data versioning, drift detection, model monitoring, and automated retraining alerts.Developed computer vision model for universal Shopper Profile — detects objects from user-uploaded images to power personalized shopping experiences.

Education

• Trine University

  Master's degree, Information Studies

  2023 — 2024

• SRM IST Chennai

  Bachelor of Technology - BTech, Computer Science

  2015 — 2019