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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!

Ifenaike Alexander's Projects

action-items-detection-in-email icon action-items-detection-in-email

Detecting Action Tendencies in Emails. The detection of Action items involves identifying sentences in an email that may require action on the part of the recipient.

bytewax-hopsworks-example icon bytewax-hopsworks-example

Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)

dsn_kowope icon dsn_kowope

Data Science Nigeria Artificial Intelligence bootcamp Qualification Hackathon 1st place Solution..

financial_inclusion_prediction_api icon financial_inclusion_prediction_api

A Machine Learning System for predicting depression tendencies from socio-economic factors deployed as a RESTAPI using Python, regularized greedy forests & FastAPI..

financial_sentiment_analysis icon financial_sentiment_analysis

Sentiment analysis aims to determine the sentiment strength from a textual source for good decision making. This work focuses on application of sentiment analysis in financial news.

geopepy icon geopepy

Geoscience and petroleum engineering open-source programs in Python

god-level-data-science-ml-full-stack icon god-level-data-science-ml-full-stack

A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI

hands-on-llms icon hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

image-classification icon image-classification

An image classification app built using Django 3, Django REST Framework 3, Next.js 12, and Material UI 5. The app uses Inception-ResNet-v2 to classify images selected by the user.

l2r icon l2r

A Python version of RankNet, LambdaRank and LambdaMart

logio icon logio

Logio is an Unsupervised Machine learning framework for well log visualization, and well-well depth correlation using logs.

machine-learning-interview icon machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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