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aifenaike/README.md

Hello, I'm Ifenaike Alexander 👋

Data Scientist | Machine Learning Developer

Welcome to my GitHub repository! I'm a passionate Data Scientist and Machine Learning Developer dedicated to the art of extracting meaningful insights from data and building intelligent systems. I enjoy building real-time data-driven applications but I mostly work on and experiment with machine learning driven APIs of all sort.

About Me:

  • My passion lies in turning data into a narrative — crafting stories from raw numbers to reveal actionable insights across diverse domains like market analytics and natural language processing.
  • Fascinated by the transformative power of machine learning, my GitHub showcases an eclectic mix of projects, each a unique milestone in my journey to master this dynamic field.
  • I'm a lifelong learner, constantly updating my toolkit with the latest in data science and machine learning, driven not just by a quest for knowledge but by a creative zeal to use these insights for real-world problem-solving.
  • In every dataset, I see a puzzle waiting to be solved, and in every challenge, an opportunity to innovate and make a tangible impact.

Connect with Me:

I'm excited to share my journey with you. Feel free to explore my repositories and reach out if you want to collaborate or discuss data and machine learning!

Pinned

  1. Weather-To-Watt Weather-To-Watt Public

    An API that serves a machine learning model dedicated to predicting solar efficiency given meteorological data

    Jupyter Notebook

  2. Market-Basket-Analysis-InstaCart-Orders Market-Basket-Analysis-InstaCart-Orders Public

    Can we use association mining and machine learning to understand groceries purchase? Can we predict products that a user will buy again, try for the first time or add to cart next during a session?…

    Jupyter Notebook 3

  3. Semantic_Search_and_Retrieval Semantic_Search_and_Retrieval Public

    A Query-Document pair ranking system using GloVe embeddings and RankCosine.

    Jupyter Notebook 5 1

  4. Topic-Modelling-Using-LDA-and-NMF Topic-Modelling-Using-LDA-and-NMF Public

    Topic Modelling and Recommendation System for News Articles using Non-Negative Matrix Factorization (NMF) and Linear discriminant analysis (LDA).

    Jupyter Notebook 2 1

  5. Customer-Review-Sentiment-Analysis Customer-Review-Sentiment-Analysis Public

    A sentiment analysis model for food product reviews by customers.

    Jupyter Notebook 3

  6. Intent-Recognition-Using-BERT Intent-Recognition-Using-BERT Public

    Transformer-based Model to recognize any of 7 unique intents from the Snips personal voice assistant.

    Jupyter Notebook 6 1