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aliduabubakari/README.md

Nerdy GIF

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Hi there! 👋 👋 👋

I'm Alidu Abubakari, a passionate data enthusiast with a keen interest in Data Analytics and Cloud Computing.

About Me 👤 👤 👤

  • 🔭 I'm currently working on completing the Azubi Data Analytics Professional Certification, expanding my skills and knowledge in the field.
  • 🌱 I'm continuously learning and exploring new tools, techniques, and technologies related to data analytics and cloud computing.
  • 👯 I'm looking to collaborate on exciting machine learning projects and contribute to the data science community.
  • 💬 Feel free to reach out to me to discuss anything related to data analytics, cloud computing, or collaboration opportunities.
  • 📫 You can connect with me on LinkedIn to stay updated with my latest projects and activities.

Skills ⚙️ ⚙️ ⚙️

  • Data Analytics Data Analytics
  • Machine Learning Machine Learning
  • Cloud Computing Cloud Computing
  • Cloud FinOps Cloud FinOps
  • Python Python
  • SQL SQL
  • Data Visualization Data Visualization
  • Statistical Analysis Statistical Analysis
  • Streamlit app development Streamlit App Dev
  • Gradio app development Gradio App Dev
  • NLP with Huggingface Natural Language Processing
  • FastApi FastApi

Projects 📂 📂 📂

  • Project 1: This is a project to forecast grocery sales for Corporación Favorita, an Ecuadorian grocery chain.

  • Project 2: In this project, we aim to find the likelihood of a customer leaving the organization, the key indicators of churn as well as the retention strategies that can be implemented to avert this problem.

  • Project 3: Building a machine learning (regression model) webapp for grocery sales prediction using streamlit

Articles 📚 📚 📚

Feel free to explore my GitHub repositories to find more interesting projects and contributions.

Let's connect and collaborate to make an impact in the exciting world of data analytics and machine learning!

Profile Views

Popular repositories Loading

  1. Sepsis-Classification-with-FastAPI Sepsis-Classification-with-FastAPI Public

    This project is focused on the accurate and efficient classification of sepsis cases using the FastAPI framework. Sepsis is a critical medical condition that requires prompt identification and trea…

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  2. churn-prediction-with-gradio churn-prediction-with-gradio Public

    This repository contains code and resources for building a churn prediction model using machine learning techniques, and deploying it with Gradio for a user-friendly interface. Gradio is used to cr…

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  3. Streamlit-grocery-sales-prediction-app Streamlit-grocery-sales-prediction-app Public

    Building a machine learning (regression model) webapp for grocery sales prediction using streamlit

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  4. Azubian_forecasting_Prediction Azubian_forecasting_Prediction Public

    The objective of this challenge is to create a model to forecast the number of products purchased per week per store over the next eight weeks, for grocery stores located in different areas in the …

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  5. California-Housing-Price California-Housing-Price Public

    The purpose of this project is to build a machine learning model of housing prices in California using the California census data. This data has features such as population, median income, median h…

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  6. Music-Recommender Music-Recommender Public

    An unsupervised learning model which analyses music genre and gives predicts genre based on Decision Tree Classifier

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