• Developed a faculty portal with NLP for automatic summarization, enhancing accessibility for over 5000 academic documents• Implemented Data-Driven OCR for data import, automating digitization and database entry for over 3000 scanned documents, streamlining documentation processes• Created an analysis tool using machine learning for sentiment analysis and topic modeling on 2000 university publications, providing actionable research insights

Led a team of 4 to improve dimensional precision in FDM printing using machine learning algorithms, enhancing AI solutions and technical specifications which was one of my Applied research projects  Created a genetic algorithm modeling process with four decision variables to predict optimal dimensions, improving accuracy and emphasizing AI model testing using AUTOcad and Ansys  Optimized FDM printing to use 30% less material, reduce waste by 20%, and increase efficiency by 10%… Show more Led a team of 4 to improve dimensional precision in FDM printing using machine learning algorithms, enhancing AI solutions and technical specifications which was one of my Applied research projects  Created a genetic algorithm modeling process with four decision variables to predict optimal dimensions, improving accuracy and emphasizing AI model testing using AUTOcad and Ansys  Optimized FDM printing to use 30% less material, reduce waste by 20%, and increase efficiency by 10% compared to traditional methods, focusing on machine learning workflows and innovation Show less

• Developed customer churn prediction models using TensorFlow and PyTorch, implementing Random Forest and Gradient Boosting algorithms, resulting in a 20% increase in prediction accuracy. This enabled the marketing team to focus on high-risk customers, improving retention rates.• Automated ETL processes with Apache Airflow and Kubernetes, significantly reducing data processing time by 50%• Deployed machine learning models on AWS using MLflow and FastAPI, ensuring high availability and… Show more • Developed customer churn prediction models using TensorFlow and PyTorch, implementing Random Forest and Gradient Boosting algorithms, resulting in a 20% increase in prediction accuracy. This enabled the marketing team to focus on high-risk customers, improving retention rates.• Automated ETL processes with Apache Airflow and Kubernetes, significantly reducing data processing time by 50%• Deployed machine learning models on AWS using MLflow and FastAPI, ensuring high availability and reliability. This allowed for real-time model predictions, which enhanced the performance of customer-facing applications.• Created interactive dashboards with Power BI, visualizing key performance metrics and identifying sales trends. This data-driven approach led to strategic marketing campaigns that boosted sales• Worked in Agile teams using Jira for project management, improving team productivity and transparency.• Designed and executed A/B tests to validate model changes and feature updates, using statistical methods to ensure the reliability of results.• Delivered end-to-end machine learning solutions, from data collection and preprocessing to model deployment and monitoring, ensuring seamless integration with existing systems. Show less