Ernest Saakian Email & Phone Number

State College, PA, US

University Park, Pennsylvania, United States

University Park, Pennsylvania, United States

• Create programming assignments and quizzes focused on object-oriented patterns
• Delivered 5 lectures on the Spring framework, guiding students through Java web application development, leading to successful deployment in 80% of student projects
• Develop and implement GUIs using Swing for lecture demonstrations, enhancing student interaction

University Park, Pennsylvania, United States

• Assisted instructor with preparation of the lecture materials and assignments for 50+ students
• Developed demonstrational web applications based on Express, implementing RESTful API endpoints
• Mentored students during lab sessions and office hours, helping students successfully develop projects

• Collaborated in developing of an AI-driven application to enhance children’s reading skills
• Launched a Python script that processed and structured over 500,000 data points, improving the LLM’s efficiency in generating appropriate reading level texts
• Implemented searching and sorting algorithms to create over 10 user-centric features, enhancing app personalization and responsiveness
• Performed data analysis using NLP tokenization techniques and statistical methods, improving accuracy by 25% in predicting user reading progression

University Park, Pennsylvania, United States

• Restructured databases using Python and SQL by optimizing indexing and query logic, improving response time by 40% across multiple databases
• Established data validation and QA processes using Python scripts, ensuring accuracy of the records
• Managed and optimized 500+ sponsor and contractor profiles within the university’s databases
• Presented complex data to department leadership through interactive dashboards in effort to inform actionable strategies and aid in informed decision-making processes across multiple teams

• Employed statistical modeling and machine learning algorithms on credit utilization rates and customer data, predicting a 6% client churn and generating over $3 million in maintained revenue every quarter
• Applied data mining and analysis to historical loan data to inform adjustments in credit terms and loan pricing
• Developed and refined predictive models and scoring systems for assessing borrower creditworthiness, incorporating variable data like credit history, ratios, and market dynamics

• Conducted comprehensive interviews for diverse positions, fulfilling 15 positions with 100+ workers
• Analyzed data pertaining to more than 3000 workers to identify potential modifications in job requirements and benefits.
• Collaborated closely with recruiting websites and companies, proficiently extracting candidates' data from local databases.