Open to opportunities

Tevin Ocholla

@tevinocholla

Message

I’m a biostatistics student who turns data into evidence-based decisions through anomaly detection and analysis.

Kenya

Message

What I'm looking for

I’m looking for an entry-level role where I can apply Python/R data analysis to detect anomalies and support trust & safety, fraud detection, or risk-focused decisions—using rigorous methods, ethical judgment, and clear documentation.

I’m a detail-oriented and analytical Biostatistics student building practical expertise in data analysis, pattern recognition, and critical thinking. I’m especially motivated by trust and safety work, where I can identify anomalies, interpret complex datasets, and make evidence-based decisions while handling sensitive information with integrity.

Through academic research and self-initiated projects, I’ve analyzed large datasets to find trends and inconsistencies, applied hypothesis testing and regression analysis, and ensured data accuracy and integrity. I designed an anomaly detection model to flag outliers and indicators of fraudulent activity, documenting findings clearly to support decision-making in high-stakes contexts.

Experience

Work history, roles, and key accomplishments

Anomaly Detection Project

Self-Initiated

Designed a model to detect unusual patterns in user data, identifying indicators of fraudulent activity and statistical outliers. Documented findings in structured reports to support evidence-based anomaly flagging and decision-making.

Anomaly Detection Fraud Detection Python (Pandas NumPy R Excel Statistical Outlier Detection Report Writing