Programming Skills

Python

I am mostly using Python for data collection, data cleaning, data analysis and data visualisation. Beyond the Python Standard Library, here are the main libraries and packages I have been using:

• Data collection: requests, urllib3, BeautifulSoup for scrapping and parsing HTML files as well as several APIs (or pseudo-APIs) wrappers (spotipy, lyricsgenius, pytrends)
• Data cleaning: pandas, numpy (mostly as part of pandas), scipy (for interpolation)
• Data analysis: statsmodel, scikit-learn (followed the 36 hours MOOC)
• Data visualisation: matplotlib, seaborn

I have also been using the following libraries and packages for specific tasks:

• NLP: gensim, spacy
• Language models: langchain, pytorch (mostly to fix GPU connections)
• Data storage interactions: S3Fs

Other data analysis tools

• R: Before switching to Python I used to work with the tidyverse mostly
• Stata
• SQL
• Excel (I actually had 2 classes on Excel back in the days at HEC)

Dev tools

• Git (basics: clone, add, push, pull, restore, diff, rm)
• Anaconda (conda env, working on python locally)
• Kubernetes (basics: connecting to a pod, launching a job)

Presentation tools

• Latex
• Powerpoint (I worked 6 months in Merger & Acquisitions, I had to know all the shortcuts...)
• Basic HTML and CSS understanding
(I built this website with Jekyll and manually customized several elements of the template as well as wrote some parts in HTML)