Ernest Saakian Email & Phone Number

New York, Ny, Us

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.