adrientalbot,github

Hi there! I am Adrien! 👋

I am a senior product analyst at HubSpot.
MSc Business Analytics Graduate from Imperial College London (modules: advanced machine learning, network analytics, digital marketing analytics, data structures, statistics and econometrics), graduated with distinction
McGill University: Bachelor of Commerce, Finance, Management & Economics
Past professional experiences: Dashmote, Capital Pilot, KPGM Data Spark, Trafigura, BNP Paribas
Awards: "The Breakthrough Award’ from Imperial for work on “Improving operational efficiencies and commercial performance” of leading energy company in the UK (July 2020)
Programming languages: Python, SQL, R, AMPL
Visualisation tools: plotly, matplotlib, ggplot2, Power BI, Tableau
Personal interests: startups, venture capital, flying drones, drone footage editing, AI, adventure travel, football (or soccer)
What I am looking to improve and gain knowledge in: A/B testing, neural networks
📫 How to reach me: [email protected], https://www.linkedin.com/in/adrien-talbot/

You will find here both personal as well as school projects I worked on such as:

Sentiment analysis on start-ups' sectors,
Machine Learning Crime Analysis Project,
Report/Analysis of startups' success and survivability,
Job Classification and Automation Risk Analysis,
Asset price correlation with Network X,
Community detection with Louvain model ... and much more!

adrientalbot's Projects

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bootcamp-projects

Project of week 1. Encrypting, decrypting text

communitydetection

Using NetworkX and Louvain community detection algorithm, I classified products into different clusters given their proximity.

crunchbasewrapper

Scraper to get data from crunchbase.com and read - write the data using SQLite database and JSON file.

job_categorization_unsupervised_learning

Using the O* net dataset, Callum and myself attempted to categorize jobs with regard to their likelihood of automation using NLP and unsupervised ML models as part of the workforce analytics course at Imperial College London