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🌸 Let's get your Data Projects Noticed

I'm on a quest to help everyone build attractive and thoughtful Data Science, with 12+ years experience in framing business cases for analytics, collecting/processing/exploring your data and showcasing the results in web apps and BI tools.

My work at Worldline involves a mix of Data/AI Strategy, Advocacy/DevRel and Solutions Management.

I'm also a university lecturer in MLOps, Big Data & NoSQL, and a member of the Streamlit Creators Ambassador Program.

Current goals

  • ✨   Continuously improve in Data Science, fullstack web development and design skills through the implementation of data analytics web apps to showcase to the world.
  • 👨🏽‍🏫   Promote the Data Analytics field to every type of business and level of public expertise, through content creation, teaching and leading data teams into building production-grade Data Science projects that are valuable for businesses.
  • 🎥   Consistently produce Youtube video tutorials that open viewers to new ways of showcasing their Data Projects, all while preserving the fun of learning and deepening their thoughts

My activities

  • 💵   I'm actively involved in elaborating and integrating Data Science / BI features for products, projects and bids internally
  • 🧑‍💻   I explore customer datasets for value, build tools to improve our own data projects, and demonstrate our works through talks, workshops and web demonstrators.
  • 👥   I teach Docker/APIs/PySpark to master students in statistics & BI here. I also talk at local meetups and write tutorials.
  • 👀   You can find me 🏸 on a badminton court playing mixed doubles or 🎹 near a piano trying to improvise over pop songs.

Fanilo Andrianasolo's Projects

chord-recommendation-system icon chord-recommendation-system

We present a chord recommendation system that can aid musicians in composing music. The system recommends favourable choices for next chord in the progression based on the chords played by the user as input to the system.

chord-suggester icon chord-suggester

ChordSuggester is a computer-aided musical composition system. Given a set of input chors, it suggest the next one. It has been trained using an LSTM Neural Network

chord-suggester-frontend icon chord-suggester-frontend

Frontend for ChordSuggester, a computer-aided musical composition system. Given a set of input chors, it suggest the next one. It has been trained using an LSTM Neural Network

cookiecutter-kaggle icon cookiecutter-kaggle

A cookiecutter Conda template to bootstrap your Kaggle projects (and any data science Python projects anyway)

cortex icon cortex

Deploy machine learning models to production

curious_notebooks icon curious_notebooks

Jupyter notebooks I wrote for testing the latest Python librairies. Expect data analytics, visualisation, and the occasional strange package.

cusec2012-victor icon cusec2012-victor

Transcript of "Inventing on Principle", CUSEC 2012 given by Bret Victor

demo-self-driving icon demo-self-driving

Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.

fastapi-vue-crud icon fastapi-vue-crud

Testing a project with a FastAPI backend and Vue.js frontend in the same project

hdp-tutorial icon hdp-tutorial

Hadoop tutorial using the Hortonworks Data Platform for university lecture.

lyon2-nosql icon lyon2-nosql

Redis/mongo/orientdb tutorials with Jupyter notebooks. Used for tutorial at university.

mayhem icon mayhem

The Python asyncio tutorial I wish existed earlier

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