Faruq Lawal

I am an analytical and impact-driven Data Scientist with over 3 years of experience in applying machine learning, predictive modeling, and data storytelling to solve business-critical problems. I have a proven track record of building credit risk models, fraud detection systems, and churn prediction engines using Python, SQL, and various cloud tools. My passion lies in combining data science with behavioral analytics to drive smarter credit decisions and foster long-term portfolio growth.

In my recent role as a Freelance Data Scientist, I successfully built and deployed credit scoring and fraud detection models that enhanced client decision-making with 99% precision. I also developed a customer churn prediction system, Smart Retain, which boosted retention by up to 25%. My collaborative approach has allowed me to work effectively with cross-functional teams to automate reporting pipelines and model training workflows, significantly reducing model update latency.

As a Data Analyst at Quantum Analytics, I delivered actionable insights by analyzing customer repayment trends and built scalable data pipelines that improved data adoption by 40%. My commitment to continuous learning and mentoring others in the field of data science drives my professional ethos, as I strive to communicate actionable insights that improve product performance and customer outcomes.