Kehinde Adefehinti
Data Scientist | AI/ML Specialist
Lagos, NG.About
Highly accomplished and results-driven Data Scientist with a proven track record of leveraging advanced AI, machine learning, and data analytics to drive significant business impact. Expertise in developing and deploying predictive models, designing intelligent systems, and transforming complex data into actionable insights. Adept at leading projects from conception to deployment, optimizing operations, and enhancing customer engagement through data-driven strategies. Seeking to apply advanced analytical skills and leadership capabilities to solve complex business challenges.
Work
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Summary
Led advanced data science initiatives to enhance business performance, customer engagement, and operational efficiency through predictive modeling and AI solutions.
Highlights
Pioneered the development and deployment of a customer churn prediction model, achieving a 50% reduction in churn and significantly enhancing customer retention strategies.
Engineered a customer segmentation model, elevating targeted marketing effectiveness and contributing to a 30% increase in sales.
Designed and implemented a robust fraud detection system, boosting identification accuracy by 40%.
Automated critical business intelligence dashboards, enhancing data accessibility and reducing reporting time.
Spearheaded and executed A/B testing initiatives, optimizing customer engagement strategies and campaign performance.
Integrated diverse external data sources (NIBSS, Credit Bureau, Google Maps) to enrich datasets and enhance predictive modeling accuracy.
Developed and deployed an internal GPT-based AI chatbot, empowering employees with instant access to customer insights and business intelligence reports.
Optimized machine learning operations by leveraging MLflow and Azure AutoML, streamlining model building, tracking, and deployment processes across multiple machine learning models.
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Summary
Performed comprehensive data analysis to derive actionable insights, support strategic decision-making, and improve operational efficiency.
Highlights
Conducted in-depth exploratory data analysis, identifying key trends that led to a 20% improvement in operational efficiency.
Developed complex SQL queries and interactive Power BI dashboards to monitor critical financial metrics and business Key Performance Indicators (KPIs).
Executed comprehensive customer behavior analysis, generating $40,000 in additional revenue by optimizing promotional offers.
Awards
Emerging Leader in Data Science Class
Awarded By
Wema Bank Tech Bootcamp BIT class
Received Merit Award for demonstrating leadership potential and excellence in data science, ranking 1st out of 10 students.
Top Fellow in Business Intelligence and Data Analysis
Awarded By
Corporate Finance Institute (CFI)
Recognized as Top 10% from the 2023 Class of the BIDA Certification.
Languages
English
Native
Skills
Programming Languages
Python, HTML, CSS, FastAPI.
Databases
MySQL, MongoDB, SQL, NoSQL.
Data Visualization
Power BI, Tableau, Matplotlib.
Artificial Intelligence & Machine Learning
Deep Learning, Predictive Modeling, Machine Learning, Natural Language Processing (NLP), A/B Testing, Scikit-Learn, PyTorch, Pandas, Numpy, MLflow, Azure AutoML, WandB, MLOps, GPT-based AI, GPT-40, GPT-3.5 Turbo, Text-ADA-Embedding-2.
Version Control
Git, GitHub, Azure DevOps.
Cloud Platforms
AWS, Azure, IBM Watson Studio, Azure Function Apps, Azure Synapse Pipelines.
Business Intelligence
Business KPIs, Financial Metrics, Exploratory Data Analysis, Customer Behavior Analysis, Market Segmentation, Fraud Detection.