Machine Learning Software Engineering

Frank Kendemah Email: ***********@*******.***

LinkedIn Mobile: 701-***-****

https://github.com/Manasseh19k

Professional Summary

Master’s student in Software Engineering with hands-on experience in data engineering, machine learning, and AI applications; skilled in Python, SQL, Spark, and Databricks for building scalable data pipelines, AI-driven tools, and predictive models.

Technical Skills

Languages: Python, SQL, JavaScript, Java

Databases: Snowflake, PostgreSQL, MySQL, Microsoft SQL Server Technologies: AWS, Docker, Redis, Celery, Git, Tableau, PowerBI, Django, React, Bootstrap, HTML, CSS, Azure, Apache Spark, Databricks, Scikit-learn

Data Skills: ETL, Data Validation, Data Cleaning, Data Modeling, Data Lakes, Data Warehouse, Machine Learning (Feature Engineering, Model Deployment)

Experience

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Blue Cross Blue Shield of North Dakota (BCBSND) Fargo, ND Data Engineering Intern May 2025 – Aug 2025

– Data Transformation Tools: Designed Python-based scripts to convert JSON/XML to CSV and Excel, reducing processing time by 80%.

– Automated Data Validation: Built a cross-environment tool for Snowflake/SQL to compare tables and output:

(1) records unique to Table A, (2) records unique to Table B, (3) mismatched records.

– Dynamic Integration: Added database, schema, and environment parameterization for flexible validation across dev/test/prod.

– Testing & QA: Created and executed unit tests, improving reliability of ETL processes and validation scripts.

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North Dakota State University Fargo, ND

Research Assistant Feb 2023 – Present

– Data Collection & Analysis: Extracted and analyzed large-scale test case datasets from top GitHub Java/Python projects using Python and Java.

– Research Development: Implemented computational methods for software testing analysis; co-authored scholarly publications.

Education

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North Dakota State University Fargo, ND

Master of Engineering in Software Engineering (GPA: 3.0+) Aug. 2023 – Dec. 2025

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Qingdao University Qingdao, China

Bachelor of Engineering in Software Engineering Oct. 2018 – June. 2022 Projects

• Cross-Environment Data Validation Tool: Python-based validation system for Snowflake/SQL databases with automated discrepancy reporting.

• Document Translator & Summarizer: Chrome extension integrating AI APIs to translate, summarize, and rewrite documents in-browser.

• Wine Quality Prediction Model: Developed a supervised ML model in Python (Scikit-learn) to predict wine quality using feature engineering and regression techniques. Certifications

Introduction to Data Engineering (Coursera), Microsoft Azure for Data Engineering (Coursera), Python Project for Data Engineering (Coursera), Data Cleaning (Kaggle), Intermediate Machine Learning (Kaggle)

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