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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

llm icon llm

Retrieval augmented generation code for GPT knowledge training

pythondocument icon pythondocument

translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~

sherlock icon sherlock

🔎 Hunt down social media accounts by username across social networks

spiderfoot icon spiderfoot

SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

startups_funding_analysis icon startups_funding_analysis

In this repository you will find the results of my analysis on the funding of startups to determine success and survivability given a Crunchbase dataset of 50,000 companies

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