Machine Learning Data Science

Mesfin Kebede

R ******.*.******@*****.*** Ó 510-***-**** linkedin.com/in/mesfin-kebede

github.com/mesfin-k

Summary

Data scientist with a unique background in Accounting, Computer Science, Applied Mathematics, and Cybersecurity. Over 8 years of experience in data analysis, SQL development, and backend systems, with strong proficiency in Python and SQL for data-driven solutions. Currently completing the Springboard Data Science Career Track, advancing my skills in machine learning and data wrangling. Passionate about leveraging Python and SQL to solve complex problems and drive innovation in FinTech and cybersecurity sectors.

Technical Skills

• Languages: Python, SQL, R, Java, C++, PHP, HTML, CSS, JavaScript

• Libraries/Frameworks: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Flask

• Databases: MySQL, PostgreSQL, MSSQL, SQLite

• Tools: Git, Jupyter Notebook, Power BI, Tableau, SSIS, SSRS

• Cybersecurity Tools: Wireshark, Metasploit, Kali Linux, Burp Suite, Nmap, Splunk

• Cloud/DevOps: AWS (EC2, S3, IAM), Docker

Experience

Springboard – Data Science Career Track

Remote — 2024 – Present

• Completed 500+ hours of hands-on training in Python, SQL, machine learning, and data wran- gling.

• Delivered capstone projects in fraud detection, SQL-based customer analysis, and data- driven forecasting.

Freelance Backend Developer

Remote — 2019 – Present

• Developed data-driven applications and backend systems using Python and SQL.

• Designed and implemented SQL-based solutions for data analysis, reporting, and data-driven decision-making.

• Built a fraud detection system using PaySim, achieving 90%+ precision in identifying fraud- ulent transactions.

• Applied data wrangling and machine learning techniques to optimize business operations and deliver actionable insights.

Backend Engineer – Pegatron Corporation (Contract) Elk Grove, CA — 2018

• Developed backend systems for data-driven applications using Python and SQL.

• Ensured data integrity by working with SQL databases and optimizing data extraction pro- cesses.

• Automated data processing and reporting tasks, improving the efficiency of backend operations. SQL Developer – Commercial Bank of Ethiopia

Addis Ababa — 2012 – 2017

• Led SQL-based data analysis, developed automated reports, and optimized SQL queries for 1,000+ bank branches.

• Created and maintained database schemas, stored procedures, and views for efficient data extraction and reporting.

• Implemented Business Intelligence (BI) solutions using SSIS, SSRS, and SSAS to enable data- driven decision-making across the bank.

• Ensured data integrity and optimized database performance for large-scale financial data manage- ment.

Education

Springboard – Data Science Career Track

Remote — 2024 – Present Comprehensive training in machine learning, data wrangling, SQL, and cap- stone projects (fraud detection, data analysis, forecasting). University of California, Merced

Merced, CA — 2024 B.S. in Applied Mathematical Sciences, with Computer Science Emphasis. Merritt College

Oakland, CA — 2022 A.A.S. in Cybersecurity – Application & Infrastructure Security. Addis Ababa University

Addis Ababa, Ethiopia — 2011 B.A. in Accounting.

HiLCoE School of Computer Science

Addis Ababa, Ethiopia — 2009 B.Sc. in Computer Science. Certifications

CompTIA Security+ Certificate #COMP001022559211 (Valid through June 2027) CodePath Cybersecurity Certificate – Outstanding Performance, Fall 2021 Projects

Capstone Projects (Springboard)

• Fraud Detection (PaySim): Built a fraud detection system using PaySim, achieving 90%+ precision in identifying fraudulent transactions.

• SQL Country Club Case Study: Analyzed SQL data to provide insights into customer membership trends and revenue forecasting.

• Social Media Blog API: Built a Spring Boot backend for a social media blog, with CRUD functions for user and message management.

Freelance Projects

• Customer Account Transaction System (CATS): Developed a web-based banking system for man- aging accounts and employee data using PHP and SQLite.

• PEP Spring Boot Project: Built a microservice-based backend using Spring Boot, demonstrat- ing modular architecture for enterprise applications.

• PEP Java Project: Created a CLI-based tool for functional design and problem-solving with Java.

• COVID-19 Data Analysis: Utilized Pandas and Matplotlib to analyze global COVID-19 trends and make regression forecasts.

Internship & Volunteer Work

2020 - 2022

Cybersecurity Instructor

Inter-City Services, Berkeley, CA Led workshops on network security and resume preparation for aspiring cy- bersecurity professionals.

Research Intern

Purdue University, West Lafayette, IN Modeled wireless EV charging systems using Python and R; Applied simulation and data analysis.

Computer Science Intern

CSU Los Angeles, Los Angeles, CA (Remote) Built an IoT-enabled shower-assist robot and developed full-stack features with real-time dashboard.

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