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Jeffrey Ojuederhie

@jeffreyojuederhie

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Machine Learning Engineer with 6+ years of impactful analytics experience.

United States

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What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in machine learning and data science.

I am a Machine Learning Engineer with over six years of experience in delivering impactful analytics and scalable machine learning systems. My expertise lies in designing and deploying predictive models, automating ETL pipelines, and translating business goals into actionable insights. I am passionate about continuous learning and staying at the forefront of AI and analytics innovation.

At Photon III, I designed a real-time recommendation system that enhanced booking conversion rates by 12% and built an end-to-end health risk prediction system using Python and AWS. My role involved mentoring teams in data science methodologies and fostering cross-functional collaboration to achieve client deliverables efficiently.

Previously, at The Vanguard Group, I led the fine-tuning of LLMs for compliance automation, achieving a 35% gain in classification accuracy. I developed an LLM-powered chatbot that significantly enhanced customer engagement. My commitment to excellence is reflected in my ability to automate processes, resulting in substantial cost savings and improved operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer - Engineering

Current

Photon III

Jan 2024 - Present (1 year 5 months)

Designed and deployed a real-time recommendation system using neural collaborative filtering and LSTM in Python to enhance booking conversion rates by 12%. Built and deployed an end-to-end health risk prediction systems with Python and AWS respectively. Deployed machine learning models using advanced feature engineering and model interpretability techniques (SHAP).

Neural Collaborative Filtering Python S3 Lambda SHAP ETL

Machine Learning Engineer, Product Insight

The Vanguard Group

Apr 2021 - Jan 2024 (2 years 9 months)

Led fine-tuning of LoRA-optimized LLMs (including LLaMA, Mistral) for compliance automation and document intelligence, driving a 35% gain in classification accuracy and reducing manual review time by 40%. Designed and implemented data pipelines for domain-specific corpus collection, pre-processing, and model training, improving data throughput by 3x. Developed and deployed an LLM-powered chatbot w

LLM Python Data Pipelines Chatbot Development KPI Design

Data Scientist

West Bend Insurance

May 2020 - May 2021 (1 year)

Built an end-to-end fraud detection system in Python, using deep learning and anomaly detection methods. Created and managed interactive Tableau dashboard for real-time fraud monitoring and risk scoring. Collaborated with stakeholders across actuarial and underwriting teams to ensure fraud detection models were aligned with business risk tolerance thresholds.

Python Deep Learning Anomaly Detection Tableau Azure DevOps Fraud Models Risk Scoring

Data Scientist

Gap Inc.

Dec 2018 - May 2020 (1 year 5 months)

Designed demand forecasting and inventory optimization models (including Economic Order Quantity models) with Python, reducing overstock costs by 15%. Analyzed multi-source customer data using Python for personalization strategies and marketing insights. Ran A/B tests to assess effectiveness of site enhancements and marketing campaigns.