Skip to content
View babaniyi's full-sized avatar
12 followers · 5 following

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Block or report babaniyi

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
babaniyi/README.md

About Me

👋 Data Scientist & ML Engineer

I’m passionate about building scalable ML systems to solve real-world challenges. My work focuses on:

  • ⛵ Recommender Systems: Enhancing personalization.
  • 📊 Forecasting: Time-series analysis.
  • 📍 A/B Testing & Experimentation: Data-driven product improvements.
  • 📎 NLP + LLMs: Text-based insights and modelling.

📫 Connect: Website | LinkedIn

Skills

Category Skills
Programming Languages Python JavaScript Scala
Data Science and Statistics Scikit-learn Pandas Numpy Seaborn Matplotlib Pytorch
Machine Learning Libraries Keras TensorFlow Scikit-learn Pytorch Nltk
Frontend HTML5 Vue.js
Styling CSS3
Backend Flask FastAPI OpenAPI Django
MLOps and DevOps Git MLflow Docker GitHub Google Cloud

Pinned Loading

  1. LLMs-for-RecSys LLMs-for-RecSys Public

    Finetune a pre-trained GPT-2 model to generate personalized product recommendations for users, based on product reviews and metadata

    Python 17 3

  2. Deep-contextual-bandits Deep-contextual-bandits Public

    A benchmark to test decision-making algorithms for contextual-bandits. The library implements a variety of algorithms (many of them based on approximate Bayesian Neural Networks and Thompson sampli…

    Python 9 1

  3. bandits bandits Public

    Algorithms for multiarmed bandits such as e-greedy, thompson sampling, etc.

    Jupyter Notebook

  4. BusinessML BusinessML Public

    Using ML to solve business questions such as customer metrics, journey, growth and segmentation.

    Jupyter Notebook 1 1

  5. Metyis Metyis Public

    I provide a recommendation about the type of movies a film production company would have to do if the box takings and profit have to be maximized.

    Jupyter Notebook

  6. babaniyi babaniyi Public

    Github profile

    JavaScript