Machine Learning Data Scientist
Resume:
Jeffrey Voke Ojuederhie
US Citizen
+1-914-***-**** ********@*******.*** https://github.com/vgauss07 Summary
Data-driven Senior Data Scientist with 7+ years of experience delivering impactful analytics and scalable machine learning systems. Proven expertise in designing and deploying predictive models, automating ETL pipelines, and translating business goals into actionable insights. Adept at mentoring teams in data science methodologies and fostering cross-functional collaboration. Passionate about continuous learning and staying on the forefront of AI and analytics innovation.
Experience
Photon III
Senior Data Scientist - Engineering, Analytics
Jan. 2024 - Present
Remote
Designed and deployed a real-time recommendation system using neural collaborative filtering and LSTM to enhance booking conversion rates by 12%.
Built and deployed end-to-end health risk prediction systems including with AWS-deployed machine learning models using advanced feature engineering and model interpretability techniques (SHAP). Automated ETL workflows and data cleaning scripts, saving more than 10+ hours/week in manual prep. Championed best practices and mentorship in creating data pipelines, machine learning pipeline, GIT-Hub based development, automating CI/CD process.
Collaborated with commercial and engineering stakeholders to ensure models aligned with objectives, key results and stakeholders' expectations.
The Vanguard Group
Machine Learning Engineer Product Insight Scientist Apr. 2021 - Jan. 2024
Pennsylvania, USA
Developed and deployed an LLM-powered chatbot integrated into Vanguard's web products that enhanced customer experience and increased customer engagement. Spearheaded KPI design, churn prediction, and A/B testing initiatives that drove a 60%+ increase in deeply engaged users.
Automated legacy reports and redundant processes using Python, resulting in $24K/month in savings. Hosted weekly Machine learning workshops, Q&A sessions for junior data scientists, and collaborated with engineers and researchers to enhance model deployment strategies. West Bend Insurance
Data Scientist (Contract)
May 2020 - May 2021
Remote
Built an end-to-end fraud detection system, using deep learning and anomaly detection methods. Created and managed interactive Tableau dashboard (transferable to PowerBI) 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. Gap Inc.
Data Scientist (Contract)
Dec. 2018 – May 2020
New York, NY
Designed demand forecasting and inventory optimization models (including Economic Order Quantity models), reducing overstock costs by 15%.
Analyzed multi-source customer data for personalization strategies and marketing insights. Ran A/B tests to assess effectiveness of site enhancements and marketing campaigns. Education
Hult International Business School
Finance
Distinction
2017-2018
Masters
Hult International Business School
International Business
Distinction
2016-2017
Masters
Benson Idahosa University
Physics and Mathematics. (Double Honors)
4.98 out of 5.0
2009 - 2013
Bachelors
Projects
Real-Time Fraud Detection System
Built and deployed a real-time fraud detection
system using a hybrid of deep learning and
anomaly detection techniques.
Designed RESTful APIs for model serving and
created an interactive Streamlit app for real-time monitoring and visualization of flagged
transactions.
Apartment Rent Price Estimator
Built an end-to-end rent price estimator for
apartments.
Health Risk Prediction Systems (Photon III)
Diabetes Prediction: Supervised classification
using clinical-style datasets; optimized for recall and interpretability.
Heart Attack Risk System: Built explainable,
clinical-grade models (Random Forest, SHAP,
XGBoost) to enable actionable health insights.
World Happiness Predictor
A machine learning project that predicts the happiness score of countries based on factors like GDP, social support, life expectancy, freedom, and more.
Skills
LLM and LLMOps Prompt Engineering
Hugging Face, Transformers, OpenAI
Programming
Python, SQL, R, Node.JS, Flask
Cloud Computing
AWS, Azure, GCP
Machine Learning & Deep Learning
Scikit-Learn, PyTorch, Tensorflow
Machine Learning & Statistical Modeling
Scikit-Learn, Tensorflow, PyTorch
Identity Data Systems Fraud Detection Risk
Assessment
Large-Scale Data Processing
Spark, Pandas, Numpy, SQL, Dask
Data Pipeline & MLOps
Docker, GitHub actions, Bitbucket, CI/CD Automation Experimentation
A/B Testing, KPI Design, Impact Measurement
Visualization
Matplotlib, Seaborn, Tableau, PowerBI
Relational Databases
Postgres, MySQL, SQL Server
Certifications
Python for Data Science
IBM
LLMOps
DeepLearning.AI
Deploying Machine Learning Models in Production
DeepLearning.AI
Advanced SQL for Data Scientist
Machine Learning in Production
Udemy
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