Predictive Customer Churn Model
Built a gradient-boosted classifier achieving 94% AUC on customer retention data. Feature engineering pipeline processes 50+ behavioural signals.
Bridging the gap between raw compute and meaningful insight. I build high-precision systems that move, model, and make sense of complex datasets.
I started in Computer Science because I loved the precision of building systems. Along the way, I realized that the real power lies in the data moving *through* those systems.
Today, my focus is on the intersection of software engineering and statistical modeling. I bridge the gap between building robust code and extracting technical insights that drive strategy.
Whether it's optimizing data extraction pipelines to save hundreds of research hours or managing high-concurrency security protocols, I prioritize system integrity and measurable efficiency.
Student Records & Registration | BYUI
Analyzing 300+ academic records per semester. Achieved 100% accuracy and reduced processing latency by 20% via workflow optimization.
Student Testing Center | BYUI
Enforced strict security protocols for high-concurrency environments (50+ users). Maintained 100% data integrity compliance.
Currently seeking opportunities for 2026. Whether you have a project in mind or just want to talk shop about data architecture, my inbox is open.
$ cat info.json
{
"name": "Hesron Kija",
"location": "Idaho, USA",
"availability": "Open to Roles",
"focus": ["Data Systems", "ML Engineering"]
} $ _