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Hello 👋

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I'm on a quest to help everyone build attractive and thoughtful Data Science, with 8+ 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 Advocacy/DevRel, Solutions Management and Engineering Lead for Data Analytics in a tight team of Data Science & Business Intelligence experts. I'm also a university lecturer in Big Data & NoSQL and a proud member of Streamlit Creators and Moderator of their forum.

Current goals

  • ✨   Continuously improve in Data Science, fullstack web development and design skills as means to promote the Data Analytics field to every type of business and level of public expertise, through teaching, training and leading the implementation of prototypes and production-grade Data Science projects.
  • 🎥   Consistently produce Youtube video tutorials that are entertaining yet educational
  • 🙃   Build Streamlit components and ease the interactive visualization of Data Scientists' work, ex: streamlit-echarts, streamlit-drawable-canvas, streamlit-lottie. I'm open to ideas/requests !

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 Big Data and NoSQL in Lyon to master students in statistics & BI. I also talk at local meetups and write tutorials
  • 👀   You can find me 🏸 on a badminton court playing mixed doubles, 🎹 near a piano trying to improvise over pop songs, or hanging in the Streamlit community.

Tech stack

Main - Python / Data Analytics

Python Streamlit Jupyter Pandas Spark Docker VSCode PyCharm

 

Secondary - Web development / Audio & Video Production / Presentation design

HTML

CSS

Javascript

React Vue Hugo Photoshop Photoshop Illustrator Illustrator

Powerpoint

 

Buy Me A Coffee

Fanilo Andrianasolo's Projects

chantilly icon chantilly

🍦 Deployment tool for online machine learning models

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.

hydralit-example icon hydralit-example

A sample project showing off the easy and ability of the Hydralit multi-page Streamlit package.

lyon2-nosql icon lyon2-nosql

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

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