Kelvin Carter

Data Scientist who turns raw data into revenue applied science is my method,
monetization is my impact. I’ve spent over six years engineering predictive
models, autonomous AI systems, and large‑scale data pipelines that don’t
just produce insights; they generate measurable return on investment. Every
solution I build is a strategic bet, engineered to deliver an 80% return
threshold that justifies the capital committed.

My work has directly prevented a $4.2 million supply chain crisis by
catching a critical component shortage six weeks before it hit production
using Monte Carlo simulation. I designed OSPF, a self‑healing AI framework
that taught Snapdragon chips to diagnose their own crashes, cutting
validation time by 40% and accelerating time‑to‑revenue for new chip
launches. I’ve also built LLM‑powered agents that cut manual workflows by
40% for financial and healthcare teams, giving people their time back.

Proficient in Python, SQL, Spark, and cloud platforms (AWS, GCP), I build
end‑to‑end pipelines that process terabytes of streaming data, run rigorous
A/B tests and causal inference, and deploy real‑time dashboards that cut
incident response by 30%.

I translate complex statistical results into
boardroom‑ready stories that move executives to act, and I’ve mentored
dozens of data scientists on Kaggle, leading cross‑functional teams to
deliver projects that matter.

My foundation was forged at SAIC, where I analyzed hardware failure logs
to save $500K and managed mission‑critical systems under strict federal
compliance. Later, at ITA, I used data to slash vendor costs by 15% and
reduce recurring issues by 25% through predictive dashboards. That
operational rigor now underpins every AI system I design. I hold a Master’s
in Computer Science and a B.S. in Business Information Economics, blending
deep technical skill with business acumen. Today, I’m a self‑driven,
independent researcher and consultant who thrives on turning ambiguity
into clarity and data into profit.

• CompTIA Security+, DoD 8570 IAM II compliant
• ITIL v3
• ITIL v3

Djibouti, 1+ year

Data Scientist who turns raw data into monetization. I’ve built
predictive models that saved $4.2M by catching supply chain shortages
weeks early, designed self‑healing AI that cuts chip validation time
40%, and deployed LLM agents that automate 40% of manual workflows—
every project engineered for an 80% return on investment. Proficient
in Python, SQL, Spark, AWS, LangChain, and RAG; I combine statistical
rigor with clear data storytelling to drive executive decisions. I
mentor on Kaggle, lead cross‑functional teams, and bring relentless
curiosity to every problem.