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# Abdullahi Ayantayo

**Headline:** Data Scientist
**Profession:** Software Engineer\-Energy Savings
**Location:** Detroit, Michigan, United States

## About

Abdullahi Ayantayo is a data scientist working on fleet EV adoption at General Motors, where he analyzes commercial clients’ fleet\-conversion feasibility and delivers reports with employee\-specific recommendations\. Abdullahi is strongest in analytics, actionable insight generation, and communicating the business story behind data\. He uses practical decision metrics—including mileage and proximity to charging and servicing—to help organizations assess EV\-transition options\. His core analytics toolkit includes Azure Databricks, SQL, Python, and Power BI, with SQL and Python as the tools he is most comfortable using\. Abdullahi is also experienced in supply\-chain optimization, data modeling, ETL workflows, machine learning, predictive analytics, and data visualization\. At the University of Missouri–Columbia, he developed a two\-stage stochastic optimization model for EV charging\-station placement that reduced the number of stations in the network by 56\.5%, kept travel between stations at 3\.5 miles or less, and achieved an objective\-function value of 0\.0360\. His background also includes battery data analysis, energy\-saving software engineering, sports data analysis, object\-detection research, teaching, and K–12 engineering instruction\. He works effectively both independently and with cross\-functional business stakeholders\.

## Services

- Web Engineering
- Software Design
- Software Infrastructure
- SQL
- dbt
- Data Visualization
- Supply Chain Optimization
- Machine Learning
- Apache Airflow
- Extract, Transform, Load \(ETL\)
- Neural Networks
- Predictive Analytics
- Data Modeling
- Research Skills
- Microsoft Azure
- Azure Databricks
- Azure Data Factory
- Microsoft SQL Server
- Microsoft Power BI
- Python \(Programming Language\)

## Highlights

- Analyzes EV fleet\-conversion feasibility for commercial clients at General Motors and delivers employee\-specific recommendations\.
- Uses mileage, charging proximity, servicing proximity, and related metrics to create actionable EV\-transition recommendations\.
- Developed a two\-stage stochastic optimization model for EV charging\-station placement at the University of Missouri–Columbia\.
- Reduced the number of EV charging stations in the project network by 56\.5%\.
- Improved EV\-owner accessibility and convenience by reducing travel between charging stations to 3\.5 miles or less\.
- Achieved an objective\-function value of 0\.0360 for the EV charging\-station placement model\.
- Worked as a Data Analyst—Batteries at Wayne State University College of Engineering\.
- Worked as a Software Engineer focused on energy savings at Resolute Building Intelligence\.
- Worked as a Data Analyst for the Detroit Lions\.
- Assisted PhD students with object detection as an Undergraduate Research Assistant at theCARLAB at Wayne State University\.
- Tutored Wayne State University students in object\-oriented programming in C\+\+ as an Undergraduate Teaching Assistant\.
- Co\-created K–12 lesson plans, facilitated camp activities, mentored students, and developed optimization skills through engineering projects as a Wayne State University Camp Instructor\.
- Earned a Bachelor’s degree in Computer Science from Wayne State University in 2025\.
- Holds Astronomer Certification for Apache Airflow Fundamentals\.
- Holds the Microsoft Certified: Power BI Data Analyst Associate certification\.
- Holds the Microsoft Certified: Azure Data Engineer Associate certification\.

## Experience

- **Software Engineer\-Energy Savings at Resolute Building Intelligence** (2025\-03\-01–2025\-09\-01)
- **Data Scientist\-Fleet EV Adoption at General Motors** (2024\-06\-01–2024\-08\-01)
- **Data Analyst\-Batteries at Wayne State University College of Engineering** (2024\-03\-01–2024\-06\-01)
- **Data Scientist\-Electric Vehicle Charging Station at University of Missouri\-Columbia** (2023\-05\-01–2023\-08\-01) — Reduced the number of EV Charging Stations in the Network by 56\.5% by developing a two\-stage stochastic optimization model\. • Improved accessibility and convenience for EV owners by decreasing the distance traveled between each charging station to 3\.5 miles or less\. • Achieved an objective function value of 0\.0360, representing a highly efficient placement of EV charging stations\.
- **Data Analyst at Detroit Lions** (2022\-11\-01–2023\-01\-01)
- **Undergraduate Teaching Assistant at Wayne State University** (2022\-01\-01–2022\-05\-01) — Tutored students object\-oriented programming in C\+\+
- **Undergraduate Research Assistant at theCARLAB at Wayne State University** (2021\-07\-01–2021\-09\-01) — Assisted PhD students in object detection
- **Camp Instructor at Wayne State University** (2021\-06\-01–2021\-08\-01) — Worked with co\-instructors to created lesson plans to mentor and guide K\-12\. Collaborated with other instructors to facilitate the camp activities\. Developed student in optimization through engineering projects\.

## Education

- Bachelor's degree, Computer Science — Wayne State University (2020\-01\-01–2025\-01\-01)
- High School Diploma — Air Force Secondary School, Ikeja, Lagos

## FAQ

### What does Abdullahi do at General Motors?

Abdullahi is a Data Scientist focused on fleet EV adoption at General Motors\. He analyzes the feasibility of converting commercial client fleets to electric vehicles and produces reports with employee\-specific recommendations\.

### What are Abdullahi’s core strengths?

Abdullahi’s strongest areas are analytics, deriving insights, and telling a clear business story from data\. He uses data\-driven analysis of mileage, charging proximity, servicing proximity, and related metrics to develop actionable EV\-transition recommendations\.

### What technical tools and skills does Abdullahi use?

Abdullahi is most comfortable with SQL and Python\. He is also proficient in Azure Databricks, Power BI, Microsoft SQL Server, Azure Data Factory, Apache Airflow, dbt, data visualization, ETL, data modeling, machine learning, neural networks, predictive analytics, software design, software infrastructure, web engineering, research, and supply\-chain optimization\.

### What did Abdullahi accomplish in his EV charging\-station project?

At the University of Missouri–Columbia, Abdullahi worked as a Data Scientist on electric\-vehicle charging\-station placement\. He developed a two\-stage stochastic optimization model that reduced the number of charging stations in the network by 56\.5%, improved accessibility by reducing distance traveled between stations to 3\.5 miles or less, and achieved an objective\-function value of 0\.0360\.

### What work has Abdullahi done at Wayne State University?

Abdullahi worked as a Data Analyst—Batteries at Wayne State University College of Engineering\. He also served as an Undergraduate Research Assistant at theCARLAB at Wayne State University, where he assisted PhD students with object detection\.

### What other professional experience does Abdullahi have?

Abdullahi worked as a Software Engineer focused on energy savings at Resolute Building Intelligence\. He also held a Data Analyst role with the Detroit Lions\.

### What teaching and mentoring experience does Abdullahi have?

Abdullahi was an Undergraduate Teaching Assistant at Wayne State University, tutoring students in object\-oriented programming in C\+\+\. He was also a Camp Instructor at Wayne State University, where he co\-created lesson plans, mentored and guided K–12 students, facilitated camp activities with other instructors, and developed students’ optimization skills through engineering projects\.

### What is Abdullahi’s education?

Abdullahi earned a Bachelor’s degree in Computer Science from Wayne State University in 2025\. He also earned a High School Diploma from Air Force Secondary School in Ikeja, Lagos\.

### What certifications does Abdullahi hold?

Abdullahi holds the Astronomer Certification for Apache Airflow Fundamentals from Astronomer, the Microsoft Certified: Power BI Data Analyst Associate certification, and the Microsoft Certified: Azure Data Engineer Associate certification\.

### How does Abdullahi work with teams and stakeholders?

Abdullahi is comfortable working independently and collaborating cross\-functionally with business stakeholders\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/abdullahi\-ayantayo

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