Education

Boston University Boston, MA

B.S. in Data Science & Minor in Business Administration 12/2024 Major GPA: 3.6

Experience

CIAL Dun & Bradstree NY, New York

Data Analyst Intern 05/2023 - 08/2023

Developed and fine-tuned a specialized web-crawling code using OpenAI’s API and machine learning models, increasing data accuracy by 5% and enabling real-time, precise data analysis. Led a team to harmonize the newly acquired data with existing company records, improving data consistency by 25%. Monitored and controlled data upload, ensuring a 98% success rate in data import and maintaining high data quality. AV Securities Family Office Panama, Panama City

Associate Intern 11/2021 - 01/2023

Managed the setup of a Special Purpose Vehicle (SPV) for Polychain Ventures II, employing project management, due diligence, and financial analysis skills while conducting data-driven background checks on over 15 clients Successfully negotiated terms including a 2% management fee and a 10% performance fee contingent on tripled returns Maintained relationships with customers, resulting in an increase in sales opportunities. Miruku Israel, Tel Aviv

Data Analytics Intern 05/2022 - 08/2022

Specialized in Nanobiotechnology and applied data-analytics algorithms to analyze milk protein structures, identifying potential integration with soybean proteins and increasing research size by 10%. Collaborated with teams from different labs to formulate new research questions and develop innovative experimental protocols, leading to a 25% increase in research productivity. Projects

Facebook-Verified Network Insights

Analyzed the interconnectivity of users using Rust, uncovering the average distance of connections between users by also reducing data processing time by 20%

Converted data into an undirected graph to implement complex algorithms, improving the accuracy of insights by 15% Employed Breadth-First Search (BFS) algorithm to understand the relationship between accounts, revealing key patterns and trends in user connections

Machine Learning Insights into Smoking Habits: A BMI and Insurance Cost Study Predicted an individual’s smoking behavior based on their Body Mass Index (BMI) and insurance costs, achieving 89% prediction accuracy.

Applied machine learning algorithms including K-means Clustering, Regression Trees, Random Forest, and Linear Regression to analyze the data and identify patterns.

Assessed the accuracy of the models using Mean Square Error (MSE) and R-squared, selecting the most efficient algorithm and improving overall prediction efficiency by 30%.

Technical Skills

Programming: Python, SQL, Rust, Azure, Microsoft Office (Word, Excel, PowerPoint), Alpha Fold, GitHub, Cloud Computing, Data Mining, Tableau, Power BI

Concepts: Computer Science, Data Analysis, Probability, Regression, Algorithms, Linear Algebra Languages: Spanish (Fluent), English (Fluent), Italian (Fluent), Hebrew (Proficient) Jonathan Hafez

Boston, MA linkedin.com/in/jhafez 617-***-**** ad12fc@r.postjobfree.com