Efunwande Osoba

About Efunwande Osoba

Research physicist turned data scientist with broad experience in quantitative analysis, machine learning and deep learning. My phd thesis was in the area of theoretical particle physics on the subject of exotic neutrino models for dark matter.In my day to day, I build highly predictive models in Python. These days I work on reinforcement learning strategies in the marketing tech space. I am work on models to drive positive incremental customer behavior in a way that keeps customer both engaged and satisfied.

Experience

1. Senior Data Scientist

   Boston Consulting Group (BCG)

   Aug 2022 — Present · San Francisco, CA, US

   Led Machine Learning Industrialization for a Major Automotive Company: Refactored the ML codebase to incorporate industry best practices, developed integration tests, implemented metric tracking using MLflow, and designed APIs with FastAPI to ensure scalable and efficient deployment- Optimized Predictive Modeling for a Leading Automotive Wholesaler: Directed the improvement of the \"days-to-sell\" prediction model leveraging demographic, dealer, and inventory-specific features, resulting in a 10% performance increase over the company’s baseline model- Delivered Actionable Insights for a Major Transportation Firm: Developed data-driven insights to enhance client sales discussions by creating innovative KPIs and client benchmarks integrated into a vehicle fleet management dashboard- Pioneered a Generative AI Pharmacy Assistant for a Grocery Giant: Designed a proof of concept (POC) chatbot using LangChain and Streamlit for the frontend, which secured full project funding to advance the solution to production- Created Generative AI solutions for Offer Personalization: Built a POC content studio app with DALL·E and LangChain/OpenAI to create personalized offer cards, alongside an offer assistant chatbot for engaging customers through tailored email campaigns- Spearheaded Reinforcement Learning Projects for Personalization: Served as technical lead, delivering contextual bandits based sales demonstrations, enhancing offer personalization systems, and driving codebase improvements.

Education

• FourthBrain

  Machine learning engineering program

• UCLA

  Doctor of Philosophy (Ph.D.), Physics

  2004 — 2010

• Arizona State University

  Bachelor of Science (B.S.), Physics

  2000 — 2003

Skills

• Big Data
• Statistics
• Research
• Mathematical Modeling
• Sql
• Apache Spark
• Haskell
• Scala
• Predictive Analytics
• Physics
• Data Science
• Quantitative Research
• Programming
• Optimization
• University Teaching
• Simulations
• Matlab
• Mathematics
• Parallel Computing
• Spark
• Data Analysis
• Mathematica
• Hadoop
• R
• Algorithms
• Python
• Latex
• Analytics
• Numerical Analysis
• C++
• Qualitative Research
• Machine Learning
• Scientific Computing