Yonathan Amare
Information Systems & Business Analytics Graduate
Information Systems & Business Analytics Graduate
Welcome to my website! I am a recent graduate from Loyola Marymount University with a strong foundation in data analytics, machine learning, and data visualization. I am proficient in Python, SQL, and cloud computing, with experience in transforming complex data into actionable insights. As an NCAA Division I student-athlete, I have developed exceptional time management, discipline, and teamwork skills, which I now apply to my work in data science. I am eager to contribute to meaningful research and further my knowledge in the field through graduate studies.
All-Win Rx | Sep 2023 - May 2024
Developed a robust Selenium webdriver to automate data extraction for over 1000 missing entries from pharmacy websites, enhancing database accuracy and efficiency. Utilized Python for scripting and integration with MySQL databases.
Spearheaded the storage and organization of large datasets in a cloud-hosted SQL database, enabling dynamic data analysis and strategic decision-making for pharmacy cost management.
Contributed to a cross-functional project that equipped small pharmacies with tools to analyze discounts and profits for the All Win Rx GPO. Delivered a comprehensive solution involving web scraping, data analysis, and database management, significantly enhancing their bargaining power under tight deadlines..
LMU Information Technology Services | Aug 2022 - May 2024
Provided faculty with assistance in use of audio/visual technology in the classroom.
Handled incoming calls and provide over-the-phone troubleshooting.
Documented and follow up with issues through issue tracking software (ServiceNow).
NCAA | Aug 2020 - May 2024
Committed to an intensive training plan of 15+ hours a week
Developed teamwork, communication, and leadership through collaborative group efforts on and off the course/track with a team of 20+
Applied time management skills while balancing practice schedule and schoolwork
Supervised Machine Learning: Regression and Classification
Joining Data with Pandas, Data Manipulation with Pandas, Introduction to Data Science in Python, Exploratory Data Analysis in Python, Machine Learning with Tree-Based Models in Python, Linear Classifiers in Python, Introduction to Linear Modeling in Python, Cluster Analysis in Python
Microsoft Office Specialist: Excel Associate (Office 2019)
Bloomberg Market Concepts
Developed complex SQL queries to analyze a veterinary hospital database, utilizing subqueries, inner/outer joins, and aggregate functions to filter and organize data. Optimized query performance by employing GROUP BY, ORDER BY, and table aliases for clarity and efficiency. Extracted insights that supported operational decision-making for the hospital's services..
Hosted a static resume website on AWS, using S3, CloudFront, DynamoDB, and Lambda for security, optimization, and performance. Implemented a live visitor counter with Python Lambda interacting with a NoSQL database. Developed the frontend with HTML, CSS, and JavaScript, showcasing both backend and frontend integration.
Utilized Python libraries (NumPy, Pandas, Matplotlib, Scikit-learn) to conduct EDA, create visualizations, and build machine learning models. Analyzed feature importance using Random Forest and Decision Tree algorithms, identifying key variables impacting EPA contract awards, and provided actionable insights to improve access for minority and women-owned businesses.
Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, MySQL,
Data Analysis, Machine Learning, Data Visualization, Data Modeling
Jupter Notebook, Visual Studio Code, Google Colab, Github, Confluence, Jira, Microsoft Office (Word, Excel, PowerPoint, Access, Outlook)
AWS (S3, Cloudfront, Lambda, DynamoDB)
Version Control, Git, Troubleshooting, Critical Thinking, Teamwork, Communication, Adaptability, Time Management